Research Article

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

Table 1

AlexNet 2D CNN model.

LayerOutput shapeParam (#)

Conv 2d (conv 2D)(None 32, 32, 16)272
Batch_normalization_v1(None 32, 32, 16)64
Max_pooling 2D(None 32, 32, 16)0
Conv2d_1(None 32, 32, 32)4640
Batch_normalization_v1_1(None 32, 32, 32)128
Max_pooling 2d_1(None 32, 32, 32)0
Conv2d_2(None 32, 32, 64)18496
Batch_normalization_v1_2(None 32, 32, 32)256
Conv2d_3(None 32, 32, 32)36928
Batch_normalization_v1_3(None 32, 32, 32)256
Conv2d_4 (conv 2D)(None 8, 8, 32)18454
Batch_normalization_v1_4(None 8, 8, 32)128
Max_pooling 2d_2(None 8, 8, 32)0
Flatten layer(None, 512)0
Dense layer(None, 200)102600
Batch_normalization_v1_5(None, 200)800
Dropout (dropout)(None, 200)0
Dense_1 (dense layer)(None, 75)15075
Batch_normalization_v1_6(None, 75)300
Dropout_1 (dropout)(None, 75)0
Dense_2 (dense)(None, 2)152