Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images

• URL: http://arxiv.org/abs/2301.01791v1
• Date: Wed, 4 Jan 2023 19:13:21 GMT
• Title: Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images
• Authors: Aashis Khanal, Rolando Estrada
• Abstract summary: This paper is a follow-up paper on vessel topology estimation and extraction. We use the extracted topology to perform A-V state-of-the-art Artery-Vein classification, AV ratio calculation, and vessel tortuosity measurement.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Accurate measurements of abnormalities like Artery-Vein ratio and tortuosity in fundus images is an actively researched task. Most of the research seems to compute such features independently. However, in this work, we have devised a fully automated technique to measure any vascular abnormalities. This paper is a follow-up paper on vessel topology estimation and extraction, we use the extracted topology to perform A-V state-of-the-art Artery-Vein classification, AV ratio calculation, and vessel tortuosity measurement, all fully automated. Existing techniques tend to only work on the partial region, but we extract the complete vascular structure. We have shown the usability of this topology by extracting two of the most important vascular features; Artery-Vein ratio, and vessel tortuosity.

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