dduwa/ocular-disease-recognition

Multi-classification of ocular diseases using ODIR-5K and uses explainable AI methods to improve the transparency of computer aided diagnostic systems.

20
/ 100
Experimental

This system helps ophthalmologists and other healthcare professionals quickly identify various ocular diseases from fundus photographs. You input a color fundus image, and the system classifies it into one of eight categories, such as Diabetes, Glaucoma, or Cataract, while also explaining the reasoning behind the diagnosis. It's designed for medical practitioners who need assistance in interpreting retinal images for diagnostic purposes.

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Use this if you are a medical professional looking for a computer-aided tool to assist in the multi-class diagnosis of common ocular conditions from fundus photographs, with added transparency on how the diagnosis was reached.

Not ideal if you are looking for a system to diagnose conditions not covered by the eight categories or if you need to integrate this into a production hospital system without further development.

ophthalmology medical-imaging diagnostic-support retinal-analysis disease-screening
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Last pushed

Aug 18, 2024

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