2D Medical Image Segmentation on COVID-QU-Ex
0.69ASDU2-Net + MAPO
Evaluation results
| Method | Links | |
|---|---|---|
| U2-Net + MAPOBackbone=CNN2025.12 | 0.69 | |
| RollingUNet + MAPOBackbone=CNN2025.12 | 0.74 | |
| U2-NetBackbone=CNN2025.12 | 0.81 | |
| H2Former + MAPOBackbone=Hybrid2025.12 | 0.83 | |
| TransAttUNet + MAPOBackbone=Hybrid2025.12 | 0.88 | |
| H2FormerBackbone=Hybrid2025.12 | 1.03 | |
| MISSFormer + MAPOBackbone=ViT2025.12 | 1.07 | |
| RollingUNetBackbone=CNN2025.12 | 1.12 | |
| SwinUNet + MAPOBackbone=ViT2025.12 | 1.14 | |
| U-Net + MAPOBackbone=CNN2025.12 | 1.2 | |
| TransAttUNetBackbone=Hybrid2025.12 | 1.25 | |
| U-NetBackbone=CNN2025.12 | 1.39 | |
| MISSFormerBackbone=ViT2025.12 | 1.66 | |
| SwinUNetBackbone=ViT2025.12 | 1.74 |