j-morano/rrwnet
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
This tool helps ophthalmologists and medical researchers accurately identify and classify retinal arteries and veins from color fundus images. By inputting a retinal scan, it provides segmented images that clearly highlight arteries in red, veins in green, and all vessels in blue. This allows practitioners to efficiently analyze the intricate vascular structure of the retina.
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Use this if you need highly accurate, human-level segmentation and classification of retinal arteries and veins for diagnostic or research purposes.
Not ideal if you are looking for a general-purpose image segmentation tool that works outside of retinal imaging.
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42
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Language
Python
License
MIT
Category
Last pushed
Sep 30, 2025
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