monajemi-arman/breast_cancer_detection
AI Breast cancer detection using InBreast, CBIS-DDSM, MIAS mammography image datasets
This project helps radiologists and medical professionals by automatically detecting suspicious masses in mammography images. It takes raw or DICOM mammograms as input and outputs annotated images highlighting potential areas of concern, along with an optional web application for easy visualization. The target end-user is anyone involved in breast cancer screening and diagnosis who wants to leverage AI for faster and more consistent initial analysis.
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Use this if you need a solution to automatically identify and mark suspicious masses in mammogram images for clinical review.
Not ideal if you are looking for a fully-fledged diagnostic tool that provides definitive diagnoses without human oversight, as this is an AI-assisted detection system.
Stars
20
Forks
7
Language
Python
License
MIT
Category
Last pushed
Sep 21, 2025
Commits (30d)
0
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