Table 3.
Proposed 3D CNN model.
| Layer | Output shape | Param (#) |
|---|---|---|
| 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 |