Automatic segmentation and measurement of vasculature in retinal fundus images using probabilistic formulation

DOI10.1155/2013/260410zbMath1307.92258OpenAlexW2078659958WikidataQ38175141 ScholiaQ38175141MaRDI QIDQ2262085

Yi Yin, Salah Bourennane, Mouloud Adel

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/260410

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Related Items (1)

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Cites Work

• Retinal vessel segmentation using a probabilistic tracking method
• Bayesian detection of the fovea in eye fundus angiographies
• Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
• Efficient Implementation for Spherical Flux Computation and Its Application to Vascular Segmentation

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