lishen/end2end-all-conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
This project offers deep learning models designed to improve the accuracy of breast cancer detection on screening mammography. It takes standard mammogram images as input and helps identify potential malignant or benign abnormalities, providing insights that can assist radiologists in their diagnostic process. Radiologists and medical researchers focusing on diagnostic imaging would find this tool beneficial.
389 stars. No commits in the last 6 months.
Use this if you are a radiologist or researcher seeking to apply advanced deep learning methods to enhance the detection of breast cancer from mammogram images.
Not ideal if you are looking for a fully-automated diagnostic tool that replaces human interpretation, as this project aims to assist rather than replace medical professionals.
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Feb 24, 2022
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