Medical Lesion Segmentation on Skin Lesion
90.85Dice CoefficientSR-ICL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 90.85 | 87.29 | |
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 90.15 | 88.69 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 90 | 88.47 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 89.73 | 86.63 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 89.39 | 86.16 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 89.12 | 88.24 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 88.79 | 87.18 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 88.31 | 87.07 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 87.9 | 85.42 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 86.4 | 82.53 | |
| MALUNetPublication=BIBM’22, Training Protocol=One model for one task2026.04 | 86.32 | 85.37 | |
| EGE-UNetPublication=MICCAI’23, Training Protocol=One model for one task2026.04 | 85.88 | 84.98 |