Medical Image Segmentation on PH2 (test)
95.7Dice ScoreCL-QW
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CL-QWArch=S-UN2026.06 | 95.7 | 91.86 | |
| QARArch=S-UN2026.06 | 95.58 | 91.66 | |
| PL-QWArch=S-UN2026.06 | 95.57 | 91.63 | |
| QARArch=UN-P2026.06 | 95.48 | 91.5 | |
| PL-QWArch=UN-P2026.06 | 95.46 | 91.45 | |
| CPS-QWArch=S-UN2026.06 | 95.45 | 91.42 | |
| PL-QWArch=A-UN2026.06 | 95.4 | 91.33 | |
| MT-QWArch=A-UN2026.06 | 95.38 | 91.31 | |
| MT-QWArch=S-UN2026.06 | 95.36 | 91.27 | |
| MT-QWArch=UN-P2026.06 | 95.32 | 91.18 | |
| QARArch=A-UN2026.06 | 95.29 | 91.15 | |
| ICT-QWArch=S-UN2026.06 | 95.26 | 91.05 | |
| CPS-QWArch=UN-P2026.06 | 95.19 | 91.01 | |
| ICT-QWArch=UN-P2026.06 | 95.18 | 90.95 | |
| ICT-QWArch=A-UN2026.06 | 95.17 | 90.95 | |
| CL-QWArch=A-UN2026.06 | 95.09 | 90.8 | |
| CPS-QWArch=A-UN2026.06 | 94.99 | 90.64 | |
| MTArch=S-UN2026.06 | 94.9 | 90.63 | |
| UA-MTArch=S-UN2026.06 | 94.87 | 90.3 | |
| PL-CArch=S-UN2026.06 | 94.86 | 90.39 | |
| ICTArch=S-UN2026.06 | 94.69 | 90.08 | |
| PL-TArch=S-UN2026.06 | 94.5 | 90.05 | |
| CL-QWArch=UN-P2026.06 | 94.48 | 89.75 | |
| S2M-NetLoss=MASL2026.01 | 94.45 | — | |
| UA-MTArch=UN-P2026.06 | 94.33 | 89.51 | |
| CPSArch=S-UN2026.06 | 94.32 | 89.42 | |
| CPSArch=UN-P2026.06 | 94.2 | 89.46 | |
| ICTArch=A-UN2026.06 | 94.16 | 89.18 | |
| PL-CArch=UN-P2026.06 | 93.92 | 89.19 | |
| CPSArch=A-UN2026.06 | 93.91 | 88.83 | |
| ICTArch=UN-P2026.06 | 93.85 | 88.81 | |
| UA-MTArch=A-UN2026.06 | 93.7 | 88.41 | |
| CLArch=S-UN2026.06 | 93.63 | 89.21 | |
| MTArch=UN-P2026.06 | 93.53 | 89.04 | |
| PL-CArch=A-UN2026.06 | 93.34 | 87.92 | |
| PL-TArch=UN-P2026.06 | 93.21 | 87.75 | |
| MTArch=A-UN2026.06 | 93.18 | 88.4 | |
| SUPArch=S-UN2026.06 | 93.02 | 87.14 | |
| SUPArch=UN-P2026.06 | 92.93 | 86.96 | |
| CLArch=A-UN2026.06 | 92.91 | 88.28 | |
| PL-TArch=A-UN2026.06 | 92.9 | 87.17 | |
| S2M-NetLoss=standard Dice loss2026.01 | 92.67 | — | |
| CLArch=UN-P2026.06 | 92.37 | 87.23 | |
| SUPArch=A-UN2026.06 | 91.73 | 85.01 | |
| UMambaLoss=MASL2026.01 | 91.34 | — | |
| DuckNetLoss=MASL2026.01 | 90.67 | — | |
| SwinUNetLoss=MASL2026.01 | 90.56 | — | |
| TransUNetLoss=MASL2026.01 | 90.23 | — | |
| U-Net++Loss=MASL2026.01 | 89.78 | — | |
| UMambaLoss=standard Dice loss2026.01 | 89.78 | — | |
| SwinUNetLoss=standard Dice loss2026.01 | 89.23 | — | |
| RAPUNetLoss=MASL2026.01 | 89.12 | — | |
| DuckNetLoss=standard Dice loss2026.01 | 89.12 | — | |
| PraNetLoss=MASL2026.01 | 88.67 | — | |
| TransUNetLoss=standard Dice loss2026.01 | 88.67 | — | |
| U-NetLoss=MASL2026.01 | 88.45 | — | |
| U-Net++Loss=standard Dice loss2026.01 | 87.54 | — | |
| RAPUNetLoss=standard Dice loss2026.01 | 87.01 | — | |
| PraNetLoss=standard Dice loss2026.01 | 86.45 | — | |
| U-NetLoss=standard Dice loss2026.01 | 86.32 | — |