Medical Image Segmentation on LC dataset (10% 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 | 78.52 | 67.31 | 11.6179 | 4.2094 | |
| MCNetSupervision Type=Semi-supervised2026.01 | 75.55 | 64.14 | 16.1903 | 9.9647 | |
| UnimatchSupervision Type=Semi-supervised2026.01 | 75.11 | 63.33 | 17.0178 | 5.7388 | |
| SSNetSupervision Type=Semi-supervised2026.01 | 74.8 | 62.78 | 14.9581 | 7.3399 | |
| ABDSupervision Type=Semi-supervised2026.01 | 74.68 | 62.44 | 12.657 | 6.7437 | |
| BCPSupervision Type=Semi-supervised2026.01 | 72.52 | 59.94 | 18.9768 | 6.5105 | |
| ARCOSupervision Type=Semi-supervised2026.01 | 72.46 | 59.45 | 14.4803 | 4.366 | |
| UA-MTSupervision Type=Semi-supervised2026.01 | 72.22 | 59.89 | 11.6724 | 5.4939 | |
| nnUNet-SSupervision Type=Semi-supervised2026.01 | 65.38 | 51.94 | 25.21 | 8.9332 | |
| UNet-SSupervision Type=Semi-supervised2026.01 | 64.9 | 51.75 | 21.4063 | 7.3382 |