Medical Lesion Segmentation on Adenocarcinoma
95.05Dice ScoreTP-Seg-Unified
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TP-Seg-UnifiedPublication=-, Training Protocol=One model for all tasks2026.04 | 95.05 | 85.79 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for all tasks2026.04 | 94.96 | 81.98 | |
| TP-Seg-GeneralPublication=-, Training Protocol=One model for one task2026.04 | 94.8 | 85.55 | |
| SegGPTPublication=ICCV’23, Training Protocol=One model for all tasks2026.04 | 94.24 | 80.14 | |
| SpiderPublication=ICML’24, Training Protocol=One model for one task2026.04 | 93.74 | 80.31 | |
| SpiderPublication=ICML’24, Training Protocol=One model for all tasks2026.04 | 93.65 | 80.3 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for one task2026.04 | 93.51 | 84.16 | |
| SR-ICLPublication=CVPR’25, Training Protocol=One model for one task2026.04 | 93.46 | 80.28 | |
| SAM2-UNetPublication=ICCVW’25, Training Protocol=One model for all tasks2026.04 | 92.35 | 82.31 | |
| TransUNetPublication=MIA’24, Training Protocol=One model for one task2026.04 | 91.85 | 74.23 |