{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"import os\n",
"import sys\n",
"import six\n",
"import glob\n",
"import math\n",
"import pandas as pd\n",
"import numpy as np\n",
"from keras.utils import to_categorical\n",
"import scipy.ndimage as nd\n",
"from scipy.ndimage import zoom\n",
"import random"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import keras\n",
"import tensorflow as tf\n",
"from keras import Model\n",
"from keras import backend as K\n",
"from keras.regularizers import l2\n",
"from keras.engine import Layer,InputSpec\n",
"from keras.layers.merge import concatenate\n",
"from keras.callbacks import TensorBoard,Callback\n",
"from keras.layers.advanced_activations import LeakyReLU\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.layers.normalization import BatchNormalization\n",
"from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau\n",
"from keras import initializers, regularizers, constraints,optimizers\n",
"from keras.callbacks import ModelCheckpoint, LearningRateScheduler,TensorBoard\n",
"from keras.layers import Add,Input,Conv3D,Convolution3D,Dropout,UpSampling3D,Concatenate,MaxPooling3D,\\\n",
"GlobalAveragePooling3D,Dense,GlobalMaxPooling3D,Lambda,Activation,Reshape,Permute, PReLU, Deconvolution3D,Multiply,GlobalAveragePooling3D,Dense"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from InstanceNorm import InstanceNormalization"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"num_blocks = 5\n",
"# strides = [2,2,2,2,2]\n",
"strides = [1,2,2,2,2]\n",
"nodule_seg_strides = [1,2,2,2,2]\n",
"# atrous_rates = [1,1,2,4,8]\n",
"atrous_rates = [1,1,1,1,1]\n",
"base_filters = 32\n",
"norm_func = InstanceNormalization\n",
"activation_func = LeakyReLU\n",
"kernel_size = 3\n",
"padding = 'same'\n",
"dropout_rate = 0\n",
"input_shape = (32,64,64,1)\n",
"num_classes = 1"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"{\n",
" \"training\": {\n",
" \"train_file\": \"../files/train_files.json\",\n",
" \"val_txt\": \"../files/val_files.json\",\n",
" \"encoder\":\"NoduleSegEncoder_proxima\",\n",
" \"encoder_file\":\"\",\n",
" \"decoder_file\":\"\",\n",
" \"decoder\":\"NoduleSegDecoder_proxima\",\n",
" \"num_classes\": 1,\n",
" \"voxel_size\":32,\n",
" \"num_slice\":64,\n",
" \"load_pre_trained\": false,\n",
" \"pre_model_file\": \"\",\n",
" \"base_path\":'/hdd/disk4/Segmentation/Weights',\n",
" \"n_channels\": 1,\n",
" \"early_stop\": 10,\n",
" \"initial_learning_rate\": 5*1e-4,\n",
" \"learning_rate_drop\": 0.5,\n",
" \"train_batch_size\": 2,\n",
" \"val_batch_size\": 2,\n",
" \"normalizer\": [-1024.0, 400.0],\n",
" \"n_epochs\": 25,\n",
" \"shuffle\": true,\n",
" \"aug\": true,\n",
" \n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from ResNet import Resnet3DBuilder\n",
"from VGGmodel import VGG\n",
"from NoduleSegEncoder import NoduleSegEncoder_proxima\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from CommonLayers import *\n",
"# from NoduleSegDecoder import NoduleSegDecoder_proxima\n",
"sys.path.append('../decoders/')\n",
"from NoduleSegDecoder import NoduleSegDecoder_proxima"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"parameter_list = {\n",
" 'num_blocks':num_blocks,\n",
" 'strides':strides,\n",
" 'atrous_rates':atrous_rates,\n",
" 'base_filters':base_filters,\n",
" 'norm_func':norm_func,\n",
" 'activation_func':activation_func,\n",
" 'kernel_size':kernel_size,\n",
" 'padding':padding,\n",
" 'dropout_rate':dropout_rate,\n",
" 'num_classes':1,\n",
" 'classification_layers':GlobalMaxPooling3D\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"resnet_parameter_list = {\n",
" 'base_filters':base_filters,\n",
" 'norm_func':norm_func,\n",
" 'activation_func':activation_func,\n",
" 'kernel_size':kernel_size,\n",
" 'padding':padding,\n",
" 'dropout_rate':dropout_rate,\n",
" 'num_classes':1,\n",
" 'classification_layers':GlobalMaxPooling3D,\n",
" 'init_kernel_size':1\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"noduleseg_parameter_list = {\n",
" 'num_blocks':num_blocks,\n",
" 'strides':nodule_seg_strides,\n",
" 'atrous_rates':[1 for _ in range(num_blocks)],\n",
" 'base_filters':base_filters,\n",
" 'norm_func':norm_func,\n",
" 'activation_func':activation_func,\n",
" 'kernel_size':kernel_size,\n",
" 'padding':padding,\n",
" 'dropout_rate':0.5,\n",
" 'num_classes':1,\n",
" 'classification_layers':GlobalMaxPooling3D\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"result = NoduleSegEncoder_proxima(input_shape,**noduleseg_parameter_list)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"result1 = VGG(input_shape,**parameter_list)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"resnet_builder = Resnet3DBuilder(**resnet_parameter_list)\n",
"result_res = resnet_builder.build_resnet_50(input_shape)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"noduleseg_decoder_parameter_list = {\n",
" 'kernel_initializer':'he_normal',\n",
" 'kernel_regularizer':l2(1e-4),\n",
" 'kernel_size':kernel_size,\n",
" 'final_kernel_size':1,\n",
" 'norm_func':norm_func,\n",
" 'activation_func':activation_func,\n",
" 'kernel_size':kernel_size,\n",
" 'padding':padding,\n",
" 'seg_num_class':1,\n",
" 'merge_axis':-1,\n",
" 'SEB_choice':True,\n",
" 'ACR_choice':False,\n",
" 'OCR_choice':False,\n",
" 'deep_supervision':True,\n",
" 'num_units':[3,3,3,3]\n",
" \n",
" \n",
" \n",
" \n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"model = NoduleSegDecoder_proxima(result,**noduleseg_decoder_parameter_list)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"__________________________________________________________________________________________________\n",
"Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
"input_1 (InputLayer) (None, 32, 64, 64, 1 0 \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_conv_01 (C (None, 32, 64, 64, 3 896 input_1[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_norm_01 (I (None, 32, 64, 64, 3 2 NoduleSegConvBlock01_conv_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_activation (None, 32, 64, 64, 3 0 NoduleSegConvBlock01_norm_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_conv_02 (C (None, 32, 64, 64, 3 27680 NoduleSegConvBlock01_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_norm_02 (I (None, 32, 64, 64, 3 2 NoduleSegConvBlock01_conv_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_activation (None, 32, 64, 64, 3 0 NoduleSegConvBlock01_norm_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_conv_03 (C (None, 32, 64, 64, 3 27680 NoduleSegConvBlock01_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_norm_03 (I (None, 32, 64, 64, 3 2 NoduleSegConvBlock01_conv_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_activation (None, 32, 64, 64, 3 0 NoduleSegConvBlock01_norm_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock01_add (Add) (None, 32, 64, 64, 3 0 NoduleSegConvBlock01_activation_0\n",
" NoduleSegConvBlock01_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegEncoderDropout01 (Drop (None, 32, 64, 64, 3 0 NoduleSegConvBlock01_add[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_conv_01 (C (None, 16, 32, 32, 6 55360 NoduleSegEncoderDropout01[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_norm_01 (I (None, 16, 32, 32, 6 2 NoduleSegConvBlock02_conv_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_activation (None, 16, 32, 32, 6 0 NoduleSegConvBlock02_norm_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_conv_02 (C (None, 16, 32, 32, 6 110656 NoduleSegConvBlock02_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_norm_02 (I (None, 16, 32, 32, 6 2 NoduleSegConvBlock02_conv_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_activation (None, 16, 32, 32, 6 0 NoduleSegConvBlock02_norm_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_conv_03 (C (None, 16, 32, 32, 6 110656 NoduleSegConvBlock02_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_norm_03 (I (None, 16, 32, 32, 6 2 NoduleSegConvBlock02_conv_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_activation (None, 16, 32, 32, 6 0 NoduleSegConvBlock02_norm_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock02_add (Add) (None, 16, 32, 32, 6 0 NoduleSegConvBlock02_activation_0\n",
" NoduleSegConvBlock02_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegEncoderDropout02 (Drop (None, 16, 32, 32, 6 0 NoduleSegConvBlock02_add[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_conv_01 (C (None, 8, 16, 16, 12 221312 NoduleSegEncoderDropout02[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_norm_01 (I (None, 8, 16, 16, 12 2 NoduleSegConvBlock03_conv_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_activation (None, 8, 16, 16, 12 0 NoduleSegConvBlock03_norm_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_conv_02 (C (None, 8, 16, 16, 12 442496 NoduleSegConvBlock03_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_norm_02 (I (None, 8, 16, 16, 12 2 NoduleSegConvBlock03_conv_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_activation (None, 8, 16, 16, 12 0 NoduleSegConvBlock03_norm_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_conv_03 (C (None, 8, 16, 16, 12 442496 NoduleSegConvBlock03_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_norm_03 (I (None, 8, 16, 16, 12 2 NoduleSegConvBlock03_conv_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_activation (None, 8, 16, 16, 12 0 NoduleSegConvBlock03_norm_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock03_add (Add) (None, 8, 16, 16, 12 0 NoduleSegConvBlock03_activation_0\n",
" NoduleSegConvBlock03_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegEncoderDropout03 (Drop (None, 8, 16, 16, 12 0 NoduleSegConvBlock03_add[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_conv_01 (C (None, 4, 8, 8, 256) 884992 NoduleSegEncoderDropout03[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_norm_01 (I (None, 4, 8, 8, 256) 2 NoduleSegConvBlock04_conv_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_activation (None, 4, 8, 8, 256) 0 NoduleSegConvBlock04_norm_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_conv_02 (C (None, 4, 8, 8, 256) 1769728 NoduleSegConvBlock04_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_norm_02 (I (None, 4, 8, 8, 256) 2 NoduleSegConvBlock04_conv_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_activation (None, 4, 8, 8, 256) 0 NoduleSegConvBlock04_norm_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_conv_03 (C (None, 4, 8, 8, 256) 1769728 NoduleSegConvBlock04_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_norm_03 (I (None, 4, 8, 8, 256) 2 NoduleSegConvBlock04_conv_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_activation (None, 4, 8, 8, 256) 0 NoduleSegConvBlock04_norm_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock04_add (Add) (None, 4, 8, 8, 256) 0 NoduleSegConvBlock04_activation_0\n",
" NoduleSegConvBlock04_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegEncoderDropout04 (Drop (None, 4, 8, 8, 256) 0 NoduleSegConvBlock04_add[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_conv_01 (C (None, 2, 4, 4, 512) 3539456 NoduleSegEncoderDropout04[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_norm_01 (I (None, 2, 4, 4, 512) 2 NoduleSegConvBlock05_conv_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_activation (None, 2, 4, 4, 512) 0 NoduleSegConvBlock05_norm_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_conv_02 (C (None, 2, 4, 4, 512) 7078400 NoduleSegConvBlock05_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_norm_02 (I (None, 2, 4, 4, 512) 2 NoduleSegConvBlock05_conv_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_activation (None, 2, 4, 4, 512) 0 NoduleSegConvBlock05_norm_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_conv_03 (C (None, 2, 4, 4, 512) 7078400 NoduleSegConvBlock05_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_norm_03 (I (None, 2, 4, 4, 512) 2 NoduleSegConvBlock05_conv_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_activation (None, 2, 4, 4, 512) 0 NoduleSegConvBlock05_norm_03[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegConvBlock05_add (Add) (None, 2, 4, 4, 512) 0 NoduleSegConvBlock05_activation_0\n",
" NoduleSegConvBlock05_activation_0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegEncoderDropout05 (Drop (None, 2, 4, 4, 512) 0 NoduleSegConvBlock05_add[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_pr (None, 2, 4, 4, 512) 0 NoduleSegEncoderDropout05[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_co (None, 2, 4, 4, 256) 3539200 NoduleSegDecoder_Block01_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_no (None, 2, 4, 4, 256) 2 NoduleSegDecoder_Block01_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_upsamp (None, 4, 8, 8, 512) 0 NoduleSegEncoderDropout05[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_ac (None, 2, 4, 4, 256) 0 NoduleSegDecoder_Block01_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 3539200 NoduleSegDecoder_Block01_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_up (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_4 (Multiply) (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_SEB_upsa\n",
" NoduleSegEncoderDropout04[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_Concat (None, 4, 8, 8, 512) 0 multiply_4[0][0] \n",
" NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 3539200 NoduleSegDecoder_Block01_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4, 8, 8, 512) 0 NoduleSegEncoderDropout05[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4, 8, 8, 256) 0 NoduleSegEncoderDropout04[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 1769728 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4, 8, 8, 768) 0 NoduleSegDecoder_Block02_SEB_preU\n",
" NoduleSegDecoder_Block02_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4, 8, 8, 128) 2654336 NoduleSegDecoder_Block02_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_no (None, 4, 8, 8, 128) 2 NoduleSegDecoder_Block02_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_upsamp (None, 8, 16, 16, 25 0 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_ac (None, 4, 8, 8, 128) 0 NoduleSegDecoder_Block02_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 884864 NoduleSegDecoder_Block02_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_up (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_5 (Multiply) (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_SEB_upsa\n",
" NoduleSegEncoderDropout03[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_Concat (None, 8, 16, 16, 25 0 multiply_5[0][0] \n",
" NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 884864 NoduleSegDecoder_Block02_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 442496 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 51 0 NoduleSegEncoderDropout05[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 25 0 NoduleSegEncoderDropout04[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 12 0 NoduleSegEncoderDropout03[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8, 16, 16, 89 0 NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8, 16, 16, 64 1548352 NoduleSegDecoder_Block03_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_no (None, 8, 16, 16, 64 2 NoduleSegDecoder_Block03_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_upsamp (None, 16, 32, 32, 1 0 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_ac (None, 8, 16, 16, 64 0 NoduleSegDecoder_Block03_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 221248 NoduleSegDecoder_Block03_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_up (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_6 (Multiply) (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_SEB_upsa\n",
" NoduleSegEncoderDropout02[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_Concat (None, 16, 32, 32, 1 0 multiply_6[0][0] \n",
" NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 221248 NoduleSegDecoder_Block03_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 110656 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_upsamp (None, 32, 64, 64, 6 0 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 55328 NoduleSegDecoder_Block04_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_Concat (None, 32, 64, 64, 6 0 NoduleSegEncoderDropout01[0][0] \n",
" NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 55328 NoduleSegDecoder_Block04_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 27680 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 27656 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 13832 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 6920 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 2 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 2 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 2 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_01 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_02 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_03 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_03[0][0\n",
"==================================================================================================\n",
"Total params: 43,102,165\n",
"Trainable params: 43,102,165\n",
"Non-trainable params: 0\n",
"__________________________________________________________________________________________________\n"
]
}
],
"source": [
"model.summary()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"model1 = NoduleSegDecoder_proxima(result1,**noduleseg_decoder_parameter_list)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"__________________________________________________________________________________________________\n",
"Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
"input_2 (InputLayer) (None, 32, 64, 64, 1 0 \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_conv_01 (Conv3D) (None, 32, 64, 64, 3 896 input_2[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_norm_01 (InstanceNo (None, 32, 64, 64, 3 2 VGG_block01_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_activation_01 (Leak (None, 32, 64, 64, 3 0 VGG_block01_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_conv_02 (Conv3D) (None, 32, 64, 64, 3 27680 VGG_block01_activation_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_norm_02 (InstanceNo (None, 32, 64, 64, 3 2 VGG_block01_conv_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block01_activation_02 (Leak (None, 32, 64, 64, 3 0 VGG_block01_norm_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_conv_01 (Conv3D) (None, 32, 64, 64, 6 55360 VGG_block01_activation_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_norm_01 (InstanceNo (None, 32, 64, 64, 6 2 VGG_block02_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_activation_01 (Leak (None, 32, 64, 64, 6 0 VGG_block02_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_conv_02 (Conv3D) (None, 32, 64, 64, 6 110656 VGG_block02_activation_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_norm_02 (InstanceNo (None, 32, 64, 64, 6 2 VGG_block02_conv_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_activation_02 (Leak (None, 32, 64, 64, 6 0 VGG_block02_norm_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block02_pool (MaxPooling3D) (None, 16, 32, 32, 6 0 VGG_block02_activation_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_conv_01 (Conv3D) (None, 16, 32, 32, 1 221312 VGG_block02_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_norm_01 (InstanceNo (None, 16, 32, 32, 1 2 VGG_block03_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_activation_01 (Leak (None, 16, 32, 32, 1 0 VGG_block03_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_conv_02 (Conv3D) (None, 16, 32, 32, 1 442496 VGG_block03_activation_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_norm_02 (InstanceNo (None, 16, 32, 32, 1 2 VGG_block03_conv_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_activation_02 (Leak (None, 16, 32, 32, 1 0 VGG_block03_norm_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_conv_03 (Conv3D) (None, 16, 32, 32, 1 442496 VGG_block03_activation_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_norm_03 (InstanceNo (None, 16, 32, 32, 1 2 VGG_block03_conv_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_activation_03 (Leak (None, 16, 32, 32, 1 0 VGG_block03_norm_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block03_pool (MaxPooling3D) (None, 8, 16, 16, 12 0 VGG_block03_activation_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_conv_01 (Conv3D) (None, 8, 16, 16, 25 884992 VGG_block03_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_norm_01 (InstanceNo (None, 8, 16, 16, 25 2 VGG_block04_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_activation_01 (Leak (None, 8, 16, 16, 25 0 VGG_block04_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_conv_02 (Conv3D) (None, 8, 16, 16, 25 1769728 VGG_block04_activation_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_norm_02 (InstanceNo (None, 8, 16, 16, 25 2 VGG_block04_conv_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_activation_02 (Leak (None, 8, 16, 16, 25 0 VGG_block04_norm_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_conv_03 (Conv3D) (None, 8, 16, 16, 25 1769728 VGG_block04_activation_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_norm_03 (InstanceNo (None, 8, 16, 16, 25 2 VGG_block04_conv_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_activation_03 (Leak (None, 8, 16, 16, 25 0 VGG_block04_norm_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block04_pool (MaxPooling3D) (None, 4, 8, 8, 256) 0 VGG_block04_activation_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_conv_01 (Conv3D) (None, 4, 8, 8, 512) 3539456 VGG_block04_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_norm_01 (InstanceNo (None, 4, 8, 8, 512) 2 VGG_block05_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_activation_01 (Leak (None, 4, 8, 8, 512) 0 VGG_block05_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_conv_02 (Conv3D) (None, 4, 8, 8, 512) 7078400 VGG_block05_activation_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_norm_02 (InstanceNo (None, 4, 8, 8, 512) 2 VGG_block05_conv_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_activation_02 (Leak (None, 4, 8, 8, 512) 0 VGG_block05_norm_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_conv_03 (Conv3D) (None, 4, 8, 8, 512) 7078400 VGG_block05_activation_02[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_norm_03 (InstanceNo (None, 4, 8, 8, 512) 2 VGG_block05_conv_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_activation_03 (Leak (None, 4, 8, 8, 512) 0 VGG_block05_norm_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"VGG_block05_pool (MaxPooling3D) (None, 2, 4, 4, 512) 0 VGG_block05_activation_03[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_pr (None, 2, 4, 4, 512) 0 VGG_block05_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_co (None, 2, 4, 4, 256) 3539200 NoduleSegDecoder_Block01_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_no (None, 2, 4, 4, 256) 2 NoduleSegDecoder_Block01_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_upsamp (None, 4, 8, 8, 512) 0 VGG_block05_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_ac (None, 2, 4, 4, 256) 0 NoduleSegDecoder_Block01_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 3539200 NoduleSegDecoder_Block01_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_up (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_7 (Multiply) (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_SEB_upsa\n",
" VGG_block04_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_Concat (None, 4, 8, 8, 512) 0 multiply_7[0][0] \n",
" NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 3539200 NoduleSegDecoder_Block01_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4, 8, 8, 512) 0 VGG_block05_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4, 8, 8, 256) 0 VGG_block04_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4, 8, 8, 256) 1769728 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4, 8, 8, 768) 0 NoduleSegDecoder_Block02_SEB_preU\n",
" NoduleSegDecoder_Block02_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4, 8, 8, 256) 2 NoduleSegDecoder_Block01_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4, 8, 8, 128) 2654336 NoduleSegDecoder_Block02_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4, 8, 8, 256) 0 NoduleSegDecoder_Block01_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_no (None, 4, 8, 8, 128) 2 NoduleSegDecoder_Block02_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_upsamp (None, 8, 16, 16, 25 0 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_ac (None, 4, 8, 8, 128) 0 NoduleSegDecoder_Block02_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 884864 NoduleSegDecoder_Block02_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_up (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_8 (Multiply) (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_SEB_upsa\n",
" VGG_block03_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_Concat (None, 8, 16, 16, 25 0 multiply_8[0][0] \n",
" NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 884864 NoduleSegDecoder_Block02_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8, 16, 16, 12 442496 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 51 0 VGG_block05_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 25 0 VGG_block04_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8, 16, 16, 12 0 VGG_block03_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8, 16, 16, 12 2 NoduleSegDecoder_Block02_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8, 16, 16, 89 0 NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8, 16, 16, 12 0 NoduleSegDecoder_Block02_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8, 16, 16, 64 1548352 NoduleSegDecoder_Block03_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_no (None, 8, 16, 16, 64 2 NoduleSegDecoder_Block03_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_upsamp (None, 16, 32, 32, 1 0 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_ac (None, 8, 16, 16, 64 0 NoduleSegDecoder_Block03_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 221248 NoduleSegDecoder_Block03_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_up (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_9 (Multiply) (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_SEB_upsa\n",
" VGG_block02_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_Concat (None, 16, 32, 32, 1 0 multiply_9[0][0] \n",
" NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 221248 NoduleSegDecoder_Block03_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16, 32, 32, 6 110656 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16, 32, 32, 6 2 NoduleSegDecoder_Block03_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16, 32, 32, 6 0 NoduleSegDecoder_Block03_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_upsamp (None, 32, 64, 64, 6 0 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 55328 NoduleSegDecoder_Block04_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_Concat (None, 32, 64, 64, 6 0 VGG_block01_activation_02[0][0] \n",
" NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 55328 NoduleSegDecoder_Block04_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 27680 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 27656 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 13832 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 6920 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 2 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 2 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 2 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8, 16, 16, 8) 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16, 32, 32, 8 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_01 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_02 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_03 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_03[0][0\n",
"==================================================================================================\n",
"Total params: 42,963,825\n",
"Trainable params: 42,963,825\n",
"Non-trainable params: 0\n",
"__________________________________________________________________________________________________\n"
]
}
],
"source": [
"model1.summary()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"model2 = NoduleSegDecoder_proxima(result_res,**noduleseg_decoder_parameter_list)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"__________________________________________________________________________________________________\n",
"Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
"input_3 (InputLayer) (None, 32, 64, 64, 1 0 \n",
"__________________________________________________________________________________________________\n",
"ResNet_InitBlock_conv_01 (Conv3 (None, 32, 64, 64, 3 64 input_3[0][0] \n",
"__________________________________________________________________________________________________\n",
"ResNet_InitBlock_norm_01 (Insta (None, 32, 64, 64, 3 2 ResNet_InitBlock_conv_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"ResNet_InitBlock_activation_01 (None, 32, 64, 64, 3 0 ResNet_InitBlock_norm_01[0][0] \n",
"__________________________________________________________________________________________________\n",
"ResNet_InitBlock_pool (MaxPooli (None, 16, 32, 32, 3 0 ResNet_InitBlock_activation_01[0]\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_co (None, 16, 32, 32, 6 2112 ResNet_InitBlock_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_no (None, 16, 32, 32, 6 2 ResNet_BottleNeckBlock01_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_ac (None, 16, 32, 32, 6 0 ResNet_BottleNeckBlock01_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__c (None, 16, 32, 32, 2 442624 ResNet_BottleNeckBlock01_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__n (None, 16, 32, 32, 2 2 ResNet_BottleNeckBlock01_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__a (None, 16, 32, 32, 2 0 ResNet_BottleNeckBlock01_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16, 32, 32, 6 442432 ResNet_BottleNeckBlock01_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16, 32, 32, 6 2 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_layer0 (None, 16.0, 32.0, 3 55360 ResNet_InitBlock_pool[0][0] \n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16, 32, 32, 6 0 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_layer0 (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_layer01_\n",
" ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_co (None, 16.0, 32.0, 3 4160 ResNet_BottleNeckBlock01_layer01_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_no (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_ac (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__c (None, 16.0, 32.0, 3 442624 ResNet_BottleNeckBlock01_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__n (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__a (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 442432 ResNet_BottleNeckBlock01_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_layer0 (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_layer01_\n",
" ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_co (None, 16.0, 32.0, 3 4160 ResNet_BottleNeckBlock01_layer02_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_no (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_1v1_ac (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__c (None, 16.0, 32.0, 3 442624 ResNet_BottleNeckBlock01_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__n (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_3v3__a (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 442432 ResNet_BottleNeckBlock01_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 2 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_residu (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock01_layer0 (None, 16.0, 32.0, 3 0 ResNet_BottleNeckBlock01_layer02_\n",
" ResNet_BottleNeckBlock01_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_co (None, 8.0, 16.0, 16 8320 ResNet_BottleNeckBlock01_layer03_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_no (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_ac (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__c (None, 8.0, 16.0, 16 1769984 ResNet_BottleNeckBlock02_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__n (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__a (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 1769600 ResNet_BottleNeckBlock02_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_layer0 (None, 8.0, 16.0, 16 221312 ResNet_BottleNeckBlock01_layer03_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_layer0 (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_layer01_\n",
" ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_co (None, 8.0, 16.0, 16 16512 ResNet_BottleNeckBlock02_layer01_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_no (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_ac (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__c (None, 8.0, 16.0, 16 1769984 ResNet_BottleNeckBlock02_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__n (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__a (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 1769600 ResNet_BottleNeckBlock02_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_layer0 (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_layer01_\n",
" ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_co (None, 8.0, 16.0, 16 16512 ResNet_BottleNeckBlock02_layer02_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_no (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_ac (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__c (None, 8.0, 16.0, 16 1769984 ResNet_BottleNeckBlock02_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__n (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__a (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 1769600 ResNet_BottleNeckBlock02_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_layer0 (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_layer02_\n",
" ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_co (None, 8.0, 16.0, 16 16512 ResNet_BottleNeckBlock02_layer03_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_no (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_1v1_ac (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__c (None, 8.0, 16.0, 16 1769984 ResNet_BottleNeckBlock02_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__n (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_3v3__a (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 1769600 ResNet_BottleNeckBlock02_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 2 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_residu (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock02_layer0 (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_layer03_\n",
" ResNet_BottleNeckBlock02_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 33024 ResNet_BottleNeckBlock02_layer04_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 884992 ResNet_BottleNeckBlock02_layer04_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer01_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 65792 ResNet_BottleNeckBlock03_layer01_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer01_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 65792 ResNet_BottleNeckBlock03_layer02_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer02_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 65792 ResNet_BottleNeckBlock03_layer03_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer03_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 65792 ResNet_BottleNeckBlock03_layer04_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer04_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_co (None, 4.0, 8.0, 8.0 65792 ResNet_BottleNeckBlock03_layer05_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_no (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_1v1_ac (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__c (None, 4.0, 8.0, 8.0 7078912 ResNet_BottleNeckBlock03_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__n (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_3v3__a (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 7078144 ResNet_BottleNeckBlock03_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 2 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_residu (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock03_layer0 (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer05_\n",
" ResNet_BottleNeckBlock03_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_co (None, 2.0, 4.0, 4.0 131584 ResNet_BottleNeckBlock03_layer06_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_no (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_ac (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__c (None, 2.0, 4.0, 4.0 28313600 ResNet_BottleNeckBlock04_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__n (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__a (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 28312064 ResNet_BottleNeckBlock04_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_layer0 (None, 2.0, 4.0, 4.0 3539456 ResNet_BottleNeckBlock03_layer06_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_layer0 (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_layer01_\n",
" ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_co (None, 2.0, 4.0, 4.0 262656 ResNet_BottleNeckBlock04_layer01_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_no (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_ac (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__c (None, 2.0, 4.0, 4.0 28313600 ResNet_BottleNeckBlock04_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__n (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__a (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 28312064 ResNet_BottleNeckBlock04_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_layer0 (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_layer01_\n",
" ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_co (None, 2.0, 4.0, 4.0 262656 ResNet_BottleNeckBlock04_layer02_\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_no (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_1v1_conv\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_1v1_ac (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_1v1_norm\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__c (None, 2.0, 4.0, 4.0 28313600 ResNet_BottleNeckBlock04_1v1_acti\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__n (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_3v3__con\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_3v3__a (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_3v3__nor\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 28312064 ResNet_BottleNeckBlock04_3v3__act\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 2 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_residu (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"ResNet_BottleNeckBlock04_layer0 (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_layer02_\n",
" ResNet_BottleNeckBlock04_residual\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_pr (None, 2.0, 4.0, 4.0 0 ResNet_BottleNeckBlock04_layer03_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_co (None, 2.0, 4.0, 4.0 3539200 NoduleSegDecoder_Block01_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_no (None, 2.0, 4.0, 4.0 2 NoduleSegDecoder_Block01_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_upsamp (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock04_layer03_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_ac (None, 2.0, 4.0, 4.0 0 NoduleSegDecoder_Block01_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4.0, 8.0, 8.0 3539200 NoduleSegDecoder_Block01_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_SEB_up (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block01_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4.0, 8.0, 8.0 2 NoduleSegDecoder_Block01_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_10 (Multiply) (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block01_SEB_upsa\n",
" ResNet_BottleNeckBlock03_layer06_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block01_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_Concat (None, 4.0, 8.0, 8.0 0 multiply_10[0][0] \n",
" NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4.0, 8.0, 8.0 3539200 NoduleSegDecoder_Block01_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4.0, 8.0, 8.0 2 NoduleSegDecoder_Block01_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block01_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock04_layer03_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_pr (None, 4.0, 8.0, 8.0 0 ResNet_BottleNeckBlock03_layer06_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_conv_0 (None, 4.0, 8.0, 8.0 1769728 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block02_SEB_preU\n",
" NoduleSegDecoder_Block02_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_norm_0 (None, 4.0, 8.0, 8.0 2 NoduleSegDecoder_Block01_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_co (None, 4.0, 8.0, 8.0 2654336 NoduleSegDecoder_Block02_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block01_activa (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block01_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_no (None, 4.0, 8.0, 8.0 2 NoduleSegDecoder_Block02_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_upsamp (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block01_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_ac (None, 4.0, 8.0, 8.0 0 NoduleSegDecoder_Block02_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8.0, 16.0, 16 884864 NoduleSegDecoder_Block02_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_SEB_up (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block02_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8.0, 16.0, 16 2 NoduleSegDecoder_Block02_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_11 (Multiply) (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block02_SEB_upsa\n",
" ResNet_BottleNeckBlock02_layer04_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block02_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_Concat (None, 8.0, 16.0, 16 0 multiply_11[0][0] \n",
" NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8.0, 16.0, 16 884864 NoduleSegDecoder_Block02_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8.0, 16.0, 16 2 NoduleSegDecoder_Block02_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block02_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_conv_0 (None, 8.0, 16.0, 16 442496 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock04_layer03_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock03_layer06_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_pr (None, 8.0, 16.0, 16 0 ResNet_BottleNeckBlock02_layer04_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_norm_0 (None, 8.0, 16.0, 16 2 NoduleSegDecoder_Block02_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
" NoduleSegDecoder_Block03_SEB_preU\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block02_activa (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block02_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_co (None, 8.0, 16.0, 16 1548352 NoduleSegDecoder_Block03_SEB_conc\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_no (None, 8.0, 16.0, 16 2 NoduleSegDecoder_Block03_SEB_conv\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_upsamp (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_ac (None, 8.0, 16.0, 16 0 NoduleSegDecoder_Block03_SEB_norm\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16.0, 32.0, 3 221248 NoduleSegDecoder_Block03_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_SEB_up (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block03_SEB_acti\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16.0, 32.0, 3 2 NoduleSegDecoder_Block03_conv_01[\n",
"__________________________________________________________________________________________________\n",
"multiply_12 (Multiply) (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block03_SEB_upsa\n",
" ResNet_BottleNeckBlock01_layer03_\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block03_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_Concat (None, 16.0, 32.0, 3 0 multiply_12[0][0] \n",
" NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16.0, 32.0, 3 221248 NoduleSegDecoder_Block03_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16.0, 32.0, 3 2 NoduleSegDecoder_Block03_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block03_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_conv_0 (None, 16.0, 32.0, 3 110656 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_norm_0 (None, 16.0, 32.0, 3 2 NoduleSegDecoder_Block03_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block03_activa (None, 16.0, 32.0, 3 0 NoduleSegDecoder_Block03_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_upsamp (None, 32.0, 64.0, 6 0 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32.0, 64.0, 6 55328 NoduleSegDecoder_Block04_upsample\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32.0, 64.0, 6 2 NoduleSegDecoder_Block04_conv_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32.0, 64.0, 6 0 NoduleSegDecoder_Block04_norm_01[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_Concat (None, 32, 64, 64, 6 0 ResNet_InitBlock_activation_01[0]\n",
" NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 55328 NoduleSegDecoder_Block04_Concaten\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_02[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_conv_0 (None, 32, 64, 64, 3 27680 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_norm_0 (None, 32, 64, 64, 3 2 NoduleSegDecoder_Block04_conv_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_Block04_activa (None, 32, 64, 64, 3 0 NoduleSegDecoder_Block04_norm_03[\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8.0, 16.0, 16 27656 NoduleSegDecoder_Block02_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16.0, 32.0, 3 13832 NoduleSegDecoder_Block03_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 6920 NoduleSegDecoder_Block04_activati\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8.0, 16.0, 16 2 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16.0, 32.0, 3 2 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 2 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 8.0, 16.0, 16 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 16.0, 32.0, 3 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDeepCombineBlock_block (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_01 (U (None, 32.0, 64.0, 6 0 NoduleSegDeepCombineBlock_block01\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_02 (U (None, 32.0, 64.0, 6 0 NoduleSegDeepCombineBlock_block02\n",
"__________________________________________________________________________________________________\n",
"deep_supervision_upsample_03 (U (None, 32, 64, 64, 8 0 NoduleSegDeepCombineBlock_block03\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32.0, 64.0, 6 9 deep_supervision_upsample_01[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32.0, 64.0, 6 9 deep_supervision_upsample_02[0][0\n",
"__________________________________________________________________________________________________\n",
"NoduleSegDecoder_DeepSupervisio (None, 32, 64, 64, 1 9 deep_supervision_upsample_03[0][0\n",
"==================================================================================================\n",
"Total params: 296,963,481\n",
"Trainable params: 296,963,481\n",
"Non-trainable params: 0\n",
"__________________________________________________________________________________________________\n"
]
}
],
"source": [
"model2.summary()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.15"
}
},
"nbformat": 4,
"nbformat_minor": 2
}