Research Article

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

Table 3

Proposed 3D CNN model.

LayerOutput shapeParam (#)

Conv 3d_1 (conv 3D)(None 27, 27, 27, 16)3472
Batch_normalization_v1(None 27, 27, 27, 16)64
Conv3d_1 (Conv 3D)(None 27, 27, 27, 16)2064
Batch_normalization_v1_2(None 27, 27, 27, 16)64
Conv3d_3(None 27, 27, 27, 16)16400
Max_pooling3d_2(None 8, 8, 8, 312)0
Batch_normalization_v1_3(None 23, 23, 23, 16)64
Max_pooling3d_1(None 11, 11, 11, 16)0
Conv3d_4(None 10, 10, 10, 32)4128
Batch_normalization_v1_4(None 10, 10, 10, 32)128
Conv3d_5 (conv 2D)(None 9, 9, 9, 32)8224
Batch_normalization_v1_5(None 9, 9, 9, 32)128
Max_pooling3d_2(None 4, 4, 4, 32)0
Conv3d_6 (conv 2D)(None, 3, 3, 3, 64)16448
Dense_1 (dense layer)(None, 200)409800
Batch_normalization_v1_6(None, 3, 3, 3, 64)256
Max_pooling3d_3(None, 1, 1, 1, 64)0
Flatten_1 (Flatten layer)(None, 64)0
Dense_1 (dense layer)(None, 256)16640
Batch_normalization_v1_7(None, 256)1024
Dropout_1 (dropout)(None, 256)0
Dense_2 (dense)(None, 2)514