ahmed1996said/gardnet
Source code for GARDNet: Robust Multi-View Network for Glaucoma Classification in Color Fundus Images
This project helps ophthalmologists and eye care professionals improve early detection of glaucoma by automating the analysis of retinal fundus images. It takes color fundus images as input and provides a classification indicating the presence or absence of glaucoma, aiding specialists in managing high patient loads for screenings. This tool is designed for medical image analysis to support diagnostic workflows.
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Use this if you need an automated, robust system to classify glaucoma from color fundus images to assist with large-scale eye screenings.
Not ideal if you are looking for a tool to diagnose other eye conditions or require a system for real-time surgical guidance.
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Sep 15, 2022
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