Medical Lesion Segmentation on Thyroid Nodule
0.8791DiceSR-ICL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 0.8791 | 0.8918 | |
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 0.8766 | 0.8753 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 0.8658 | 0.8637 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 0.8652 | 0.8803 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 0.8652 | 0.884 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 0.8639 | 0.8524 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 0.8552 | 0.8537 | |
| TRSRD-NetPublication=ICISN’24, Training Protocol=One model for one task2026.04 | 0.854 | 0.8465 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 0.8477 | 0.8469 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 0.7969 | 0.8518 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 0.7824 | 0.829 |