xmindflow/MSA-2Net
[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"
This project helps medical professionals, researchers, and AI developers precisely outline organs, tumors, or other structures within medical images like X-rays, MRIs, or CT scans. It takes raw medical images as input and produces segmented images with clear delineations of specific anatomical or pathological regions. The primary users are those who analyze medical scans for diagnosis, treatment planning, or scientific study.
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Use this if you need to accurately segment various tissues and structures in medical images, especially when dealing with significant variations in size, shape, and density of features.
Not ideal if you are looking for a general-purpose image segmentation tool outside of medical imaging, or if you do not have access to a GPU with at least 12GB of memory.
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Language
Python
License
MIT
Last pushed
Oct 02, 2025
Commits (30d)
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