Medical Image Segmentation on ETIS
79.3mIoUMedical SAM3
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Medical SAM3Zero-shot=true2026.01 | 79.3 | 86.1 | — | |
| VNS-SAMEncoder Adapter=true2026.01 | 0.89 | — | 0.799 | |
| VNS-SAM2026.01 | 0.862 | — | 0.757 | |
| MedSAM2026.01 | 0.84 | — | 0.738 | |
| SAM2026.01 | 0.838 | — | 0.703 | |
| SAM-Med2D2026.01 | 0.781 | — | 0.646 | |
| IPS-16PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=16, Prompt Points (Test)=162024.03 | 0.77 | 0.854 | — | |
| IPS-5PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=5, Prompt Points (Test)=52024.03 | 0.704 | 0.801 | — | |
| SSFormerTraining Images=1450/25942024.03 | 0.698 | 0.767 | — | |
| IPS-3P|16PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=162024.03 | 0.674 | 0.763 | — | |
| IPS-3P|5PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=52024.03 | 0.626 | 0.727 | — | |
| TransUNetTraining Images=1450/25942024.03 | 0.624 | 0.731 | — | |
| Med2D-5PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=52024.03 | 0.571 | 0.677 | — | |
| IPS-3PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=32024.03 | 0.569 | 0.659 | — | |
| PraNetTraining Images=1450/25942024.03 | 0.567 | 0.628 | — | |
| Med2D-3PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=32024.03 | 0.524 | 0.633 | — | |
| Med2D-16PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=162024.03 | 0.514 | 0.622 | — | |
| SAM-5PPrompt Points=52024.03 | 0.472 | 0.541 | — | |
| SAM-16PPrompt Points=162024.03 | 0.455 | 0.524 | — | |
| SAM-3PPrompt Points=32024.03 | 0.381 | 0.464 | — | |
| U-netTraining Images=1450/25942024.03 | 0.335 | 0.398 | — | |
| SAM3Zero-shot=true2026.01 | 0 | 0 | — |