brucechou1983/CheXNet-Keras
This project is a tool to build CheXNet-like models, written in Keras.
ArchivedThis project helps medical researchers and data scientists build and customize AI models that can detect and localize 14 different diseases directly from chest X-ray images. It takes raw chest X-ray images and patient data as input and produces a trained AI model capable of identifying diseases, along with visualizations showing where the model detected issues on the X-ray. Researchers would use this to develop AI tools that can assist radiologists in diagnosing conditions like pneumonia or emphysema.
301 stars. No commits in the last 6 months.
Use this if you are a medical AI researcher or data scientist wanting to train, test, and customize deep learning models for chest X-ray diagnosis, achieving performance comparable to expert radiologists.
Not ideal if you are a clinician looking for an out-of-the-box diagnostic tool for immediate patient care, as this project requires technical expertise to set up and run.
Stars
301
Forks
148
Language
Python
License
MIT
Category
Last pushed
Nov 22, 2022
Commits (30d)
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