ishaanjav/HackRice-X-Retinopathy-App

Predicting diabetic retinopathy from eye fundus images using computer vision.

28
/ 100
Experimental

This mobile app helps medical professionals rapidly assess eye fundus images for signs of diabetic retinopathy. You input a patient's eye scan, and the app uses computer vision to provide a prediction of whether diabetic retinopathy is present. It's designed for ophthalmologists, optometrists, or general practitioners performing initial screenings.

No commits in the last 6 months.

Use this if you need a quick, preliminary assessment of diabetic retinopathy directly from eye fundus images using a mobile device.

Not ideal if you require a definitive diagnosis that replaces a comprehensive medical evaluation or if you need to analyze image types other than eye fundus scans.

ophthalmology diabetic-retinopathy-screening eye-health medical-imaging-analysis optometry
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 15 / 25

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Stars

9

Forks

4

Language

Java

License

Last pushed

Oct 07, 2020

Commits (30d)

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