Research Article

3D CNN with Visual Insights for Early Detection of Lung Cancer Using Gradient-Weighted Class Activation

Table 2

AlexNet 3D CNN model.

LayerOutput shapeParam (#)

Conv 3d_1 (conv 3D)(None 32, 32, 32, 16)8208
Batch_normalization_v1(None 32, 32, 32, 16)64
Max_pooling 3D_1(None 16, 16, 16, 16)0
Conv3d_1 (Conv 3D)(None 16, 16, 16, 32)13856
Batch_normalization_v1_2(None 16, 16, 16, 32)128
Max_pooling3d_2(None 8, 8, 8, 312)0
Conv3d_3(None 8, 8, 8, 64)55360
Batch_normalization_v1_3(None 8, 8, 8, 64)256
Conv3d_4(None 8, 8, 8, 64)110656
Batch_normalization_v1_4(None 8, 8, 8, 64)256
Conv3d_5 (conv 2D)(None 8, 8, 8, 32)53328
Batch_normalization_v1_5(None 8, 8, 8, 32)128
Max_pooling2d_3(None 4, 4, 4, 32)0
Falatten_1 (flatten layer)(None, 2048)0
Dense_1 (dense layer)(None, 200)409800
Batch_normalization_v1_6(None, 200)800
Dropout_1 (dropout)(None, 200)0
Dense_2 (dense layer)(None, 75)15075
Batch_normalization_v1_7(None, 75)300
Dropout_2 (dropout)(None, 75)0
Dense_3 (dense)(None, 2)152