gregwchase/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
This project offers a method for automatically classifying patient diagnoses from chest X-rays, aiming to improve diagnostic decisions for various lung diseases. It takes chest X-ray images and associated patient data (like age and gender) as input and outputs a predicted diagnosis. Medical professionals, especially radiologists or clinicians, who work with chest X-rays would find this useful.
100 stars. No commits in the last 6 months.
Use this if you are a medical researcher or data scientist exploring methods to automatically classify diseases from chest X-rays and want to understand the challenges of using existing datasets like ChestXray14.
Not ideal if you are looking for a production-ready system to directly aid in clinical diagnostic work, as the current dataset limitations make its predictions unreliable.
Stars
100
Forks
56
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 07, 2018
Commits (30d)
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