Medical Image Classification on MILK Clinical 10k
0.9151AUCENet-B0
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ENet-B0Backbone=EfficientNet-B02026.02 | 0.9151 | 0.5459 | 0.5222 | 0.6345 | 0.6714 | 0.0096 | |
| ENet-B0+CBLBackbone=EfficientNet-B0, Loss Function=Class-Balanced Loss2026.02 | 0.9087 | 0.5245 | 0.4778 | 0.735 | 0.727 | 0.0351 | |
| MONETType=Concept-based model2026.02 | 0.9071 | 0.55 | 0.5778 | 0.6236 | 0.6711 | 0.023 | |
| SemCovNet2026.02 | 0.9028 | 0.5698 | 0.59 | 0.6986 | 0.7305 | 0.0759 | |
| CLIP2026.02 | 0.8855 | 0.5207 | 0.4778 | 0.6014 | 0.6424 | 0.0162 | |
| ViTModel Type=Vision Transformer2026.02 | 0.8839 | 0.4146 | 0.3667 | 0.5686 | 0.597 | 0.0219 | |
| GroupDROMethodology=Distributionally Robust Optimization2026.02 | 0.8658 | 0.3921 | 0.4111 | 0.8116 | 0.6353 | 0.0576 | |
| ENet-B0+ASLBackbone=EfficientNet-B0, Loss Function=Asymmetric Loss2026.02 | 0.6128 | 0.1243 | 0.0667 | 0.5614 | 0.5608 | 0.0567 |