Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-Based Approach for Artery/Vein Classification

dc.contributor.author Dashtbozorg,B en
dc.contributor.author Ana Maria Mendonça en
dc.contributor.author Aurélio Campilho en
dc.date.accessioned 2018-01-13T18:36:21Z
dc.date.available 2018-01-13T18:36:21Z
dc.date.issued 2013 en
dc.description.abstract The Arteriolar-to-Venular Ratio (AVR) is a well known index for the diagnosis of diseases such as diabetes, hypertension or cardiovascular pathologies. This paper presents a fully automatic AVR estimation method which uses a graph-based artery/vein classification approach to classify the retinal vessels by a combination of structural information taken from the vasculature graph with intensity features from the original color image. This method was evaluated on the images of the INSPIRE-AVR dataset. The mean error and the correlation coefficient of obtained results with respect to the reference AVR values were identical to the ones obtained by the second observer using a semi-automated system, which demonstrate the potential of the herein proposed solution for clinical application. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/6023
dc.identifier.uri http://dx.doi.org/10.1007/978-3-642-39094-4_60 en
dc.language eng en
dc.relation 6381 en
dc.relation 6071 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-Based Approach for Artery/Vein Classification en
dc.type conferenceObject en
dc.type Publication en
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