arnoweng/CheXNet
A pytorch reimplementation of CheXNet
This project helps radiologists and medical researchers quickly identify and localize 14 common thoracic diseases from chest X-ray images. You input a frontal-view chest X-ray, and it outputs the probability of each disease being present, along with a visual 'heatmap' showing where the pathology is likely located on the image. This tool is designed for medical professionals or researchers working with large volumes of chest X-rays.
649 stars. No commits in the last 6 months.
Use this if you need an automated, explainable system to screen chest X-rays for thoracic abnormalities or to assist in diagnosis.
Not ideal if you need a system trained on a different type of medical image, such as CT scans, or if you require an official medical device certification.
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649
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234
Language
Python
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Last pushed
Jan 05, 2024
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