Medical Image Segmentation on AVT (K dataset)
86.55DSC (%)ParaTransCNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ParaTransCNN2024.01 | 86.55 | 5.27 | |
| DAE-Former2024.01 | 82.25 | 11.37 | |
| TransUNet2024.01 | 80.67 | 9.61 | |
| TransCeption2024.01 | 79.37 | 11.97 | |
| U-Net2024.01 | 79.22 | 8.83 | |
| HiFormer2024.01 | 78.69 | 9.45 | |
| Att-UNet2024.01 | 77.91 | 9.58 | |
| Swin U-Net2024.01 | 77.45 | 12.62 | |
| MISSFormer2024.01 | 75.81 | 12.45 | |
| TransDeepLab2024.01 | 75.15 | 12.06 |