Table 2 Sch-net architecture details
From: Sch-net: a deep learning architecture for automatic detection of schizophrenia
Layer | Dimension |
|---|---|
Conv1 | 2×[3×3(64 filters)] |
Conv2 | 2×[3×3(128 filters)] |
Conv3 | 2×[3×3(256 filters)] |
Conv4 | 2×[3×3(512 filters)] |
Conv5-8 | 3×3(512 filters) |
Max-pooling | 2×2 |
Average-pooling | 2×2 |
CBAM | 7×7 (2048 filters) |
FC | 1×1×512, 1×1×2 (two hidden layers) |