Binary Segmentation on CVC-ClinicDB (test)
91.91DSCNoise-robust Dice loss
Evaluation Results
| Method | Links | |
|---|---|---|
| Noise-robust Dice lossArchitecture=TransUNet2022.07 | 91.91 | |
| Focal Tversky lossArchitecture=TransUNet2022.07 | 91.81 | |
| Dice lossArchitecture=TransUNet2022.07 | 91.41 | |
| Adaptive t-vMF Dice lossArchitecture=TransUNet, lambda=22022.07 | 91.32 | |
| Focal Dice lossArchitecture=TransUNet2022.07 | 91.13 | |
| Generalised Dice lossArchitecture=TransUNet2022.07 | 91.01 | |
| t-vMF Dice lossArchitecture=TransUNet, k=1282022.07 | 90.76 | |
| Adaptive t-vMF Dice lossArchitecture=TransUNet, lambda=322022.07 | 90.71 | |
| t-vMF Dice lossArchitecture=TransUNet, k=22022.07 | 90.51 | |
| WS Dice lossArchitecture=TransUNet2022.07 | 90.49 | |
| t-vMF Dice lossArchitecture=TransUNet, k=322022.07 | 90.46 | |
| Adaptive t-vMF Dice lossArchitecture=TransUNet, lambda=1282022.07 | 90.34 | |
| BFL-log(Dice) lossArchitecture=TransUNet2022.07 | 89.22 | |
| Adaptive t-vMF Dice lossArchitecture=U-Net, lambda=1282022.07 | 88.68 | |
| t-vMF Dice lossArchitecture=U-Net, k=1282022.07 | 88.16 | |
| Adaptive t-vMF Dice lossArchitecture=U-Net, lambda=322022.07 | 87.39 | |
| t-vMF Dice lossArchitecture=U-Net, k=322022.07 | 86.77 | |
| BFL-log(Dice) lossArchitecture=U-Net2022.07 | 86.57 | |
| Focal Dice lossArchitecture=U-Net2022.07 | 84.38 | |
| Focal Tversky lossArchitecture=U-Net2022.07 | 83.39 | |
| Generalised Dice lossArchitecture=U-Net2022.07 | 83.37 | |
| Noise-robust Dice lossArchitecture=U-Net2022.07 | 83.14 | |
| t-vMF Dice lossArchitecture=U-Net, k=22022.07 | 83.05 | |
| Adaptive t-vMF Dice lossArchitecture=U-Net, lambda=22022.07 | 82.73 | |
| WS Dice lossArchitecture=U-Net2022.07 | 82.41 | |
| Dice lossArchitecture=U-Net2022.07 | 82.02 |