Medical Image Segmentation on Endovis binary 17 (test)
95.56Dice ScoreS2M-Net
Evaluation results
| Method | Links | |
|---|---|---|
| S2M-NetLoss=MASL2026.01 | 95.56 | |
| S2M-NetLoss=standard Dice loss2026.01 | 92.45 | |
| UMambaLoss=MASL2026.01 | 90.89 | |
| DuckNetLoss=MASL2026.01 | 90.12 | |
| SwinUNetLoss=MASL2026.01 | 89.78 | |
| TransUNetLoss=MASL2026.01 | 89.23 | |
| UMambaLoss=standard Dice loss2026.01 | 88.91 | |
| U-Net++Loss=MASL2026.01 | 88.67 | |
| RAPUNetLoss=MASL2026.01 | 88.34 | |
| DuckNetLoss=standard Dice loss2026.01 | 88.34 | |
| PraNetLoss=MASL2026.01 | 87.92 | |
| SwinUNetLoss=standard Dice loss2026.01 | 87.92 | |
| TransUNetLoss=standard Dice loss2026.01 | 87.45 | |
| U-NetLoss=MASL2026.01 | 87.19 | |
| U-Net++Loss=standard Dice loss2026.01 | 86.23 | |
| RAPUNetLoss=standard Dice loss2026.01 | 86.01 | |
| PraNetLoss=standard Dice loss2026.01 | 85.34 | |
| U-NetLoss=standard Dice loss2026.01 | 84.56 |