Medical Image Segmentation on EBHI Pathology
95.44Dice ScoreC2P
Evaluation Results
| Method | Links | |
|---|---|---|
| C2PModel Type=Universal, Backbone=ConvNeXt-B, Resolution=384x3842026.03 | 95.44 | |
| SpiderModel Type=Universal2026.03 | 95.29 | |
| RWKV-UNetModel Type=Specialized2026.03 | 95.26 | |
| nnUNetV2Model Type=Specialized2026.03 | 95.26 | |
| Swin-UMambaModel Type=Specialized2026.03 | 95.14 | |
| AURA-NetModel Type=Specialized2026.03 | 95.08 | |
| LGMSNetModel Type=Specialized2026.03 | 95.07 | |
| MEGANetModel Type=Specialized2026.03 | 95.06 | |
| UTANetModel Type=Specialized2026.03 | 94.82 | |
| SR-ICLModel Type=Universal2026.03 | 94.78 | |
| UNetModel Type=Specialized2026.03 | 94.61 | |
| TycheModel Type=Universal2026.03 | 94.2 | |
| UniverSegModel Type=Universal2026.03 | 91.28 |