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Jan 31, 2020 · Quantitative imaging of retinal arteries and veins offers unique insights into cardiovascular and microvascular diseases but is laborious.
Quantitative imaging of retinal arteries and veins offers unique insights into cardiovascular and microvascular diseases but is laborious.
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We propose a vessel-constraint network (VC-Net) that utilizes the information of vessel distribution and edge to enhance A/V classification.
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Automatic retinal arteriovenous classification can assist ophthalmologists in disease early diagnosis. Deep learning-based methods and topological ...
Automatic artery/vein (A/V) classification is one of the important topics in retinal image analysis. It allows the researchers to investigate the association ...
Mar 17, 2023 · Multi-task neural networks with spatial activation for retinal vessel segmentation and artery/vein classification
This paper presents an automatic approach for artery/vein (A/V) classification based on the analysis of a graph representing the structure of the retinal ...
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In this paper a novel structural and automated method is presented for artery/vein classification of blood vessels in retinal images.
This paper reviews the automatic retinal arteriovenous classification methods from 2003 to 2022. Firstly, we compare different methods and provide comparison ...
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