Medical Image Segmentation on ACDC 2017 (test)
91.29DSCBoundary DoU Loss
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Boundary DoU LossModel=TransUNet2023.08 | 91.29 | 2.16 | 78.45 | |
| Boundary DoU LossModel=Swin-UNet2023.08 | 91.02 | 1.28 | 77 | |
| Boundary DoU LossModel=UNet2023.08 | 90.84 | 1.54 | 76.44 | |
| Dice LossModel=TransUNet2023.08 | 90.69 | 2.03 | 76.66 | |
| Dice + CE LossModel=TransUNet2023.08 | 90.48 | 1.94 | 76.27 | |
| Boundary LossModel=TransUNet2023.08 | 90.48 | 1.84 | 76.31 | |
| Tversky LossModel=TransUNet2023.08 | 90.37 | 1.95 | 76.2 | |
| Dice LossModel=UNet2023.08 | 90.17 | 1.34 | 75.2 | |
| Dice LossModel=Swin-UNet2023.08 | 90.17 | 1.34 | 75.2 | |
| Dice + CE LossModel=UNet2023.08 | 89.94 | 1.28 | 74.8 | |
| Dice + CE LossModel=Swin-UNet2023.08 | 89.94 | 1.28 | 74.8 | |
| Tversky LossModel=Swin-UNet2023.08 | 89.55 | 1.48 | 74.37 | |
| Boundary LossModel=UNet2023.08 | 89.25 | 2.28 | 73.08 | |
| CE LossModel=TransUNet2023.08 | 89.22 | 2.07 | 73.78 | |
| Boundary LossModel=Swin-UNet2023.08 | 88.95 | 1.53 | 72.73 | |
| CE LossModel=UNet2023.08 | 88.08 | 1.48 | 71.25 | |
| CE LossModel=Swin-UNet2023.08 | 88.08 | 1.48 | 71.25 | |
| Tversky LossModel=UNet2023.08 | 83.6 | 9.88 | 69.36 |