ImprintLab/Medical-SAM2
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
This project helps medical professionals, researchers, and imaging specialists automatically outline specific anatomical structures or anomalies within medical scans. You provide 2D images like fundus scans or 3D volumetric data such as CT or MRI scans, and it outputs precise segmented regions of interest, like optic cups or abdominal organs. This significantly speeds up analysis for diagnostics or research.
908 stars. No commits in the last 6 months.
Use this if you need to accurately and efficiently segment specific organs, tumors, or other structures in large volumes of 2D or 3D medical images for research, diagnosis, or treatment planning.
Not ideal if you are looking for a plug-and-play application without any coding or deep learning environment setup.
Stars
908
Forks
131
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 06, 2025
Commits (30d)
0
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