Medical Image Segmentation on ETIS-PolypDB (test)
96.12Dice ScoreS2M-Net
Evaluation results
| Method | Links | |
|---|---|---|
| S2M-NetLoss=MASL2026.01 | 96.12 | |
| UMambaLoss=MASL2026.01 | 94.45 | |
| S2M-NetLoss=standard Dice loss2026.01 | 93.83 | |
| DuckNetLoss=MASL2026.01 | 93.78 | |
| SwinUNetLoss=MASL2026.01 | 93.34 | |
| UMambaLoss=standard Dice loss2026.01 | 92.91 | |
| PraNetLoss=MASL2026.01 | 92.89 | |
| TransUNetLoss=MASL2026.01 | 92.89 | |
| DuckNetLoss=standard Dice loss2026.01 | 92.23 | |
| RAPUNetLoss=MASL2026.01 | 92.12 | |
| SwinUNetLoss=standard Dice loss2026.01 | 91.89 | |
| U-Net++Loss=MASL2026.01 | 91.67 | |
| TransUNetLoss=standard Dice loss2026.01 | 91.45 | |
| PraNetLoss=standard Dice loss2026.01 | 91.23 | |
| RAPUNetLoss=standard Dice loss2026.01 | 90.34 | |
| U-NetLoss=MASL2026.01 | 90.23 | |
| U-Net++Loss=standard Dice loss2026.01 | 89.45 | |
| U-NetLoss=standard Dice loss2026.01 | 88.12 |