Medical Image Segmentation on AVT (R dataset)
83.01DSC (%)ParaTransCNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ParaTransCNN2024.01 | 83.01 | 7.75 | |
| DAE-Former2024.01 | 78.85 | 14.32 | |
| U-Net2024.01 | 76.32 | 10.34 | |
| HiFormer2024.01 | 75.56 | 11.19 | |
| TransCeption2024.01 | 75.54 | 17.92 | |
| TransUNet2024.01 | 74.73 | 23.47 | |
| TransDeepLab2024.01 | 71.06 | 24.88 | |
| Att-UNet2024.01 | 70.15 | 15.18 | |
| Swin U-Net2024.01 | 69.41 | 26.48 | |
| MISSFormer2024.01 | 69.2 | 21.62 |