Medical Image Segmentation on PENGWIN (test)
81.86DSC (%)PDANet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PDANetLoss Function=CWCD loss, #Params=31.48M2026.01 | 81.86 | 17.37 | 4.53 | |
| RepUX-NetLoss Function=CWCD loss, #Params=65.80M2026.01 | 78.95 | 23.07 | 6.11 | |
| RepUX-NetLoss Function=Original Loss, #Params=65.80M2026.01 | 77.72 | 22.33 | 6.42 | |
| SwinUNETRLoss Function=CWCD loss, #Params=61.99M2026.01 | 77.29 | 21.85 | 5.83 | |
| 3D UX-NetLoss Function=CWCD loss, #Params=53.00M2026.01 | 77.27 | 23.37 | 6.34 | |
| VSmTransLoss Function=CWCD loss, #Params=49.86M2026.01 | 77.25 | 20.03 | 6.04 | |
| DeepLabV3Loss Function=CWCD loss, #Params=6.25M2026.01 | 76.41 | 23.82 | 7.09 | |
| nnFormerLoss Function=CWCD loss, #Params=149.17M2026.01 | 75.82 | 20.47 | 5.92 | |
| VSmTransLoss Function=Original Loss, #Params=49.86M2026.01 | 75.53 | 24.78 | 7.31 | |
| Slim-UNETRLoss Function=CWCD loss, #Params=1.79M2026.01 | 74.79 | 28.48 | 8.09 | |
| DeepLabV3Loss Function=Original Loss, #Params=6.25M2026.01 | 74.29 | 27.46 | 8.03 | |
| SwinUNETRLoss Function=Original Loss, #Params=61.99M2026.01 | 74.04 | 26.63 | 7.11 | |
| 3D UX-NetLoss Function=Original Loss, #Params=53.00M2026.01 | 73.63 | 29.74 | 7.38 | |
| 3D U-NetLoss Function=CWCD loss, #Params=1.87M2026.01 | 73.6 | 33.56 | 8.28 | |
| nnFormerLoss Function=Original Loss, #Params=149.17M2026.01 | 73.31 | 23.91 | 6.39 | |
| Slim-UNETRLoss Function=Original Loss, #Params=1.79M2026.01 | 70.02 | 36.63 | 8.87 | |
| 3D U-NetLoss Function=Original Loss, #Params=1.87M2026.01 | 68.63 | 40.04 | 11.32 | |
| UNETRLoss Function=CWCD loss, #Params=104.05M2026.01 | 64.66 | 36.73 | 9.36 | |
| UNETRLoss Function=Original Loss, #Params=104.05M2026.01 | 55.71 | 47.83 | 12.12 |