Model card
SegVol.
BAAI (Beijing Academy of AI)open-source90M paramsSAM-based volumetric segmentation
SAM-based universal volumetric segmentation model. Supports semantic and spatial prompts. Trained on 90K unlabeled CT scans.
§ 01 · Benchmarks
Every benchmark SegVol has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Synapse Multi-Organ CT | Medical · Medical Image Segmentation | mean-dsc | 83.1% | #6 | 2023-11-22 | 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 SegVol.
- 2023-11-22· Medical· 1 result
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
1 of 1 rows marked verified.