Medical Lesion Segmentation on Wet AMD
86.67Dice ScoreTP-Seg-General
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 86.67 | 88.62 | |
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 86.53 | 88.5 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 83.13 | 84.21 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 82.49 | 84.33 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 80.7 | 83.88 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 80.54 | 83.84 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 79.32 | 83.22 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 78.51 | 82.66 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 76.72 | 81.29 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 71.66 | 78.64 |