bowang-lab/MedSAM
Segment Anything in Medical Images observed · 2026-08-28
Health v2 · maintenance only
29/100
- Activity 20
- Release rhythm 8
- Longevity 87
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1229
- days_rel: n/a
- days_push: 483
- n_releases_24m: 0
Adoption not part of the score
4379 stars · 597 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
MedSAM is a fine-tuned Segment Anything Model (SAM) foundation model for universal medical image segmentation, trained on over 1.5 million image-mask pairs across 10 imaging modalities and 30+ cancer types. It provides CLI, Jupyter notebook, and PyQt GUI interfaces for promptable segmentation of medical images via bounding boxes.
Use cases
- segment tumors and organs in CT and MRI scans
- run promptable segmentation on medical images with bounding boxes
- fine-tune a segmentation model on my own medical imaging dataset
- preprocess CT/MR scans for segmentation model training
- interactively segment medical images through a desktop GUI
When to choose
- you need a general-purpose medical image segmentation model that generalizes across modalities and organs
- you want a published, well-validated foundation model with checkpoints and training pipelines
- you prefer prompt-based (bounding box) segmentation instead of training task-specific models
When to avoid
- you need 3D volumetric or video segmentation natively (use MedSAM2 instead)
- you need fully automatic segmentation without user-provided prompts
- you lack a GPU or cannot download large model checkpoints
Facets
library · maturity active
machine-learning image-processing computer-vision cli gui healthcare deep-learning artificial-intelligence image-processing python cross-platform medical-imaging image-segmentation segment-anything foundation-model sam ct mri pytorch gpu
5 sources
- readme: https://github.com/bowang-lab/MedSAM · fetched 2026-08-28 · 09909f076728
- homepage: https://www.nature.com/articles/s41467-024-44824-z · fetched 2026-08-29 · de51146e6529
- site_page: https://www.nature.com/openresearch/about-open-access/information-for-institutions · fetched 2026-08-29 · 9631b227fce6
- site_page: https://www.nature.com/npg_/company_info/index.html · fetched 2026-08-29 · 02db2231ae28
- site_page: https://www.nature.com/npg_/press_room/press_releases.html · fetched 2026-08-29 · 8d21d099acec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| bowang-lab/MedSAM | main | 29 |
For agents
markdown · JSON · MCP: product_card(name="bowang-lab/MedSAM")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem