Medical Image Segmentation on Data Science Bowl 2018
92.6Dice CoefficientDuAT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DuATResolution=352x3522022.12 | 92.6 | 87 | 2.7 | |
| SSFormerVariant=S2022.03 | 92.54 | 86.52 | — | |
| SSFormerVariant=L2022.03 | 92.3 | 86.14 | — | |
| MSRF-Net2022.03 | 92.24 | 85.34 | — | |
| Polyp-PVTResolution=352x3522022.12 | 91.7 | 85.9 | 3 | |
| TransFuseResolution=352x3522022.12 | 91.6 | 85.5 | 3.3 | |
| TransUNetResolution=352x3522022.12 | 91.5 | 84.5 | 3.3 | |
| PraNetResolution=352x3522022.12 | 91.2 | 83.8 | 3.6 | |
| UNet++Resolution=352x3522022.12 | 91.1 | 83.7 | 3.9 | |
| UCTransNetResolution=352x3522022.12 | 91.1 | 83.5 | 3.5 | |
| CaraNetResolution=352x3522022.12 | 91 | 83.5 | 3.7 | |
| U-Net2022.03 | 90.8 | 83.14 | — | |
| U-NetResolution=352x3522022.12 | 90.8 | 83.1 | 4 | |
| Deeplabv3+2022.03 | 88.57 | 83.67 | — | |
| U-Net++2022.03 | 77.05 | 30.1 | — |