Medical Image Segmentation on PICAI
0.96DiceSAMRIbox
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SAMRIboxPrompting Strategy=box-only2025.10 | 0.96 | 6.87 | 2.18 | |
| SAMRIbpPrompting Strategy=box+point2025.10 | 0.96 | 7.21 | 2.19 | |
| SAM-ViTB2025.10 | 0.91 | 13 | 3.16 | |
| MedSAM2025.10 | 0.89 | 11.68 | 4.24 | |
| RL-PromptSeg2026.02 | 0.566 | — | — | |
| Swin-UNeTr2026.02 | 0.477 | — | — | |
| Combiner2026.02 | 0.469 | — | — | |
| nnUNet2026.02 | 0.461 | — | — | |
| UNetvariant=surrogate2026.02 | 0.453 | — | — | |
| DinoV32026.02 | 0.438 | — | — | |
| UNet2026.02 | 0.426 | — | — | |
| T2-predictor2026.02 | 0.394 | — | — | |
| MedSAM32026.02 | 0.376 | — | — | |
| MedSAM22026.02 | 0.363 | — | — | |
| UniverSeg2026.02 | 0.351 | — | — | |
| MedSAM2026.02 | 0.342 | — | — | |
| SAM22026.02 | 0.301 | — | — | |
| SAM32026.02 | 0.298 | — | — | |
| SAM2026.02 | 0.294 | — | — |