Codesota · Models · SAM-Med3DUniversity Medical Center Hamburg-Eppendorf et al.1 results · 1 benchmarks
Model card
SAM-Med3D.
University Medical Center Hamburg-Eppendorf et al.open-source387M paramsSAM adapted for 3D volumes
Segment Anything Model extended to 3D volumetric medical images. Trained on 21K segmentation masks.
§ 01 · Benchmarks
Every benchmark SAM-Med3D has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | BTCV | Medical · Medical Image Segmentation | mean-dsc | 78.9% | #5 | 2023-08-30 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for SAM-Med3D.
- 2023-08-30· Medical· 1 result
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
1 of 1 rows marked verified.