ZombaSY/FSG-Net-pytorch
Official implementation of the paper, "Full-scale Representation Guided Network for Retinal Vessel Segmentation"
This project helps medical image analysts and ophthalmologists automatically identify and outline blood vessels in retinal scans. It takes raw retinal images (fundus photographs) as input and produces precise segmentations of the vessels, which can be crucial for diagnosing eye conditions. The primary users are researchers or clinicians working with large volumes of retinal imaging data.
Use this if you need highly accurate, automated segmentation of retinal blood vessels from fundus images to aid in diagnosis or research.
Not ideal if you need a system for general medical image analysis beyond retinal vessel segmentation, or if you prefer a cloud-based service without local setup.
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34
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8
Language
Python
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Last pushed
Jan 06, 2026
Commits (30d)
0
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