Medical Image Segmentation on KITS17 (test)
79.98Dice ScoreS2M-Net
Evaluation results
| Method | Links | |
|---|---|---|
| S2M-NetLoss=MASL2026.01 | 79.98 | |
| S2M-NetLoss=standard Dice loss2026.01 | 77.65 | |
| UMambaLoss=MASL2026.01 | 73.45 | |
| DuckNetLoss=MASL2026.01 | 72.23 | |
| UMambaLoss=standard Dice loss2026.01 | 70.92 | |
| SwinUNetLoss=MASL2026.01 | 70.78 | |
| TransUNetLoss=MASL2026.01 | 69.92 | |
| DuckNetLoss=standard Dice loss2026.01 | 69.67 | |
| U-Net++Loss=MASL2026.01 | 67.89 | |
| SwinUNetLoss=standard Dice loss2026.01 | 67.89 | |
| RAPUNetLoss=MASL2026.01 | 67.34 | |
| TransUNetLoss=standard Dice loss2026.01 | 67.23 | |
| PraNetLoss=MASL2026.01 | 66.45 | |
| U-NetLoss=MASL2026.01 | 65.07 | |
| U-Net++Loss=standard Dice loss2026.01 | 64.56 | |
| RAPUNetLoss=standard Dice loss2026.01 | 63.92 | |
| PraNetLoss=standard Dice loss2026.01 | 62.78 | |
| U-NetLoss=standard Dice loss2026.01 | 61.23 |