Network structure parameters of the diagnostic model
| Serial no. | Layer | Parameters (convolution kernel, stride) × no. |
|---|---|---|
| 1 | Input | – |
| 2 | Conv_2D_1 | (3*3, 1*1) × 8 |
| 3 | MaxPooling_1 | (2*2, 2*2) |
| 4 | SE Block_1 | – |
| 5 | ResBlock_1_1 | (1*1, 1*1) × 8 |
| 6 | ResBlock_1_2 | (3*3, 1*1) × 16 |
| 7 | ResBlock_1_3 | (1*1, 1*1) × 16 |
| 8 | Conv 2D_2 | (3*3, 1*1) × 16 |
| 9 | Maxpooling_2 | (2*2, 2*2) |
| 10 | SE Block_2 | – |
| 11 | ResBlock_2_1 | (1*1, 1*1) × 16 |
| 12 | ResBlock_2_2 | (3*3, 1*1) × 32 |
| 13 | ResBlock_2_3 | (1*1, 1*1) × 32 |
| 14 | Conv 2D_3 | (3*3, 1*1) × 32 |
| 15 | SE Block_3 | – |
| 16 | FC+Dropout | 100, 0.1 |
| 17 | Output | – |
| Serial no. | Layer | Parameters (convolution kernel, stride) × no. |
|---|---|---|
| 1 | Input | – |
| 2 | Conv_2D_1 | (3*3, 1*1) × 8 |
| 3 | MaxPooling_1 | (2*2, 2*2) |
| 4 | SE Block_1 | – |
| 5 | ResBlock_1_1 | (1*1, 1*1) × 8 |
| 6 | ResBlock_1_2 | (3*3, 1*1) × 16 |
| 7 | ResBlock_1_3 | (1*1, 1*1) × 16 |
| 8 | Conv 2D_2 | (3*3, 1*1) × 16 |
| 9 | Maxpooling_2 | (2*2, 2*2) |
| 10 | SE Block_2 | – |
| 11 | ResBlock_2_1 | (1*1, 1*1) × 16 |
| 12 | ResBlock_2_2 | (3*3, 1*1) × 32 |
| 13 | ResBlock_2_3 | (1*1, 1*1) × 32 |
| 14 | Conv 2D_3 | (3*3, 1*1) × 32 |
| 15 | SE Block_3 | – |
| 16 | FC+Dropout | 100, 0.1 |
| 17 | Output | – |