Medical Image Segmentation on BraTS 2019
68.53Dice ScoreSemiSAM+
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SemiSAM+specialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 68.53 | 56.22 | 38.81 | 16.66 | |
| SemiSAM-O1iteration=R3, specialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 68.5 | 56.51 | 33.97 | 14.26 | |
| SemiSAM-O1iteration=R2, specialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 65.85 | 53.6 | 37.32 | 16.38 | |
| SemiSAM-O1iteration=R1, specialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 61.6 | 49.37 | 41.46 | 18.42 | |
| SSL Baselinespecialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 52.56 | 37.13 | 58.8 | 25.41 | |
| FS Baselinespecialist model=MT, generalist model=SAM-Med3D, setting=one-label2026.04 | 42.82 | 29.01 | 63.55 | 30.43 |