2D Medical Image Segmentation on COVID-QU-Ex (Dice)
96.53Dice ScoreRollingUNet + MAPO
Evaluation Results
| Method | Links | |
|---|---|---|
| RollingUNet + MAPOBackbone=CNN2025.12 | 96.53 | |
| U2-Net + MAPOBackbone=CNN2025.12 | 96.49 | |
| TransAttUNet + MAPOBackbone=Hybrid2025.12 | 96.3 | |
| H2Former + MAPOBackbone=Hybrid2025.12 | 96.05 | |
| U2-NetBackbone=CNN2025.12 | 95.95 | |
| TransAttUNetBackbone=Hybrid2025.12 | 95.13 | |
| MISSFormer + MAPOBackbone=ViT2025.12 | 95.12 | |
| H2FormerBackbone=Hybrid2025.12 | 95.05 | |
| U-Net + MAPOBackbone=CNN2025.12 | 94.99 | |
| SwinUNet + MAPOBackbone=ViT2025.12 | 94.67 | |
| MISSFormerBackbone=ViT2025.12 | 93.93 | |
| U-NetBackbone=CNN2025.12 | 93.65 | |
| SwinUNetBackbone=ViT2025.12 | 92.61 | |
| RollingUNetBackbone=CNN2025.12 | 91.32 |