Research Article
Classification on Digital Pathological Images of Breast Cancer Based on Deep Features of Different Levels
| Layer | Type | Num kernels | Kernel size | Stride | Activation |
| 0 | Input | 3 | 128 × 128 | — | — | 1 | Convolution | 16 | 5 × 5 | 3 | ReLU | 2 | Max pool | — | 2 × 2 | 2 | — | 3 | Convolution | 32 | 5 × 5 | 1 | ReLU | 4 | Max pool | — | 2 × 2 | 2 | — | 5 | Convolution | 72 | 3 × 3 | 1 | ReLU | 6 | Max pool | — | 2 × 2 | 2 | — | 7 | Global max pool | — | — | — | — | 8 | Output | 2 | — | — | Softmax |
|
|