ImprintLab/MedSegDiff
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
This project helps medical professionals, researchers, and imaging specialists accurately identify and outline organs or tissues within medical scans like MRIs or skin images. You input medical images (e.g., JPEG, NIfTI files), and it outputs precise segmented images where specific anatomical structures or anomalies are clearly highlighted. This is useful for tasks requiring detailed boundary detection, such as tumor delineation or anatomical measurement.
1,350 stars. No commits in the last 6 months.
Use this if you need to precisely segment and reconstruct organs, tissues, or anomalies from medical images like MRI scans or dermatological photos, and you appreciate fast, accurate results.
Not ideal if you are looking for a pre-trained, ready-to-use application with a graphical user interface, as this project requires some technical setup and command-line execution.
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1,350
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196
Language
Python
License
MIT
Category
Last pushed
Sep 10, 2025
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