Medical Image Segmentation on LC dataset (5% Labeled)
83.45DiceUNet-F
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UNet-FSupervision Type=Fully Supervised2026.01 | 83.45 | 73.86 | 6.9634 | 2.2913 | |
| nnUNet-FSupervision Type=Fully Supervised2026.01 | 82.59 | 72.36 | 4.2533 | 1.4216 | |
| VQ-SegSupervision Type=Semi-supervised2026.01 | 66.43 | 52.57 | 12.2525 | 4.2276 | |
| UnimatchSupervision Type=Semi-supervised2026.01 | 64.93 | 50.71 | 17.87 | 5.4526 | |
| ABDSupervision Type=Semi-supervised2026.01 | 64.14 | 50.24 | 12.5608 | 5.9661 | |
| MCNetSupervision Type=Semi-supervised2026.01 | 63.78 | 49.7 | 15.2759 | 4.9231 | |
| SSNetSupervision Type=Semi-supervised2026.01 | 63.28 | 48.86 | 25.1005 | 9.318 | |
| BCPSupervision Type=Semi-supervised2026.01 | 62.43 | 48.54 | 26.9303 | 10.4789 | |
| ARCOSupervision Type=Semi-supervised2026.01 | 61.62 | 47.78 | 36.2256 | 14.6243 | |
| UA-MTSupervision Type=Semi-supervised2026.01 | 60.29 | 46.47 | 48.6681 | 24.602 | |
| nnUNet-SSupervision Type=Semi-supervised2026.01 | 45.9 | 34.38 | 13.2746 | 8.8636 | |
| UNet-SSupervision Type=Semi-supervised2026.01 | 43.43 | 31.18 | 26.0498 | 12.6188 |