lin-tianyu/Stable-Diffusion-Seg
[MICCAI 2024] Codebase for "Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process"
This project helps medical professionals and researchers analyze biomedical images by automatically identifying and outlining specific structures within them. You provide medical scans or images, and it generates precise segmentations (pixel-level masks) of regions of interest. It's designed for anyone working with biomedical imaging who needs accurate object delineation.
112 stars. No commits in the last 6 months.
Use this if you need to precisely segment organs, lesions, or other structures in biomedical images to aid diagnosis, research, or treatment planning.
Not ideal if you are working with general-purpose image segmentation outside of the biomedical domain or if your primary need is not highly accurate pixel-level delineation.
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112
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11
Language
Python
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Last pushed
Jun 20, 2025
Commits (30d)
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