gregwchase/nih-chest-xray

Identifying diseases in chest X-rays using convolutional neural networks

47
/ 100
Emerging

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.

medical-imaging radiology-diagnosis lung-disease clinical-decision-support patient-care
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

100

Forks

56

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 07, 2018

Commits (30d)

0

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