2D Medical Image Segmentation on Kvasir
9.36ASDRollingUNet
Evaluation results
| Method | Links | |
|---|---|---|
| RollingUNetBackbone=CNN2025.12 | 9.36 | |
| RollingUNet + MAPOBackbone=CNN2025.12 | 11.48 | |
| U2-Net + MAPOBackbone=CNN2025.12 | 15.8 | |
| TransAttUNet + MAPOBackbone=Hybrid2025.12 | 22.58 | |
| MISSFormer + MAPOBackbone=ViT2025.12 | 23.05 | |
| U2-NetBackbone=CNN2025.12 | 24 | |
| U-Net + MAPOBackbone=CNN2025.12 | 28.78 | |
| H2Former + MAPOBackbone=Hybrid2025.12 | 29.07 | |
| TransAttUNetBackbone=Hybrid2025.12 | 31.88 | |
| U-NetBackbone=CNN2025.12 | 36.6 | |
| MISSFormerBackbone=ViT2025.12 | 40.47 | |
| SwinUNet + MAPOBackbone=ViT2025.12 | 42.54 | |
| H2FormerBackbone=Hybrid2025.12 | 45.73 | |
| SwinUNetBackbone=ViT2025.12 | 45.8 |