Repo detail
swesmith-repos/yeerwen__UniSeg.e3ae40de
Extracted labels
Project type: Library
Idea patterns: Dev tool
Scope: Production-ish
Audience: Public users
AI tools: Other
Confidence 0.90
Why these labels
- Focuses on medical image segmentation
- Supports multiple organs and tumors
- Based on a recent MICCAI 2023 paper
Commit activity (sampled)
Commits sampled
1
Active days
1
Build span
0 days
Median gap
— days
First commit
1/30/2026
Latest commit
1/30/2026
README keyword snippets
his is the official pytorch implementation of our MICCAI 2023 paper "[UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner](https: