Research Lines Cardiovascular risk

Development of an automated system to classify retinal vessels into arteries and veins

Saez M, González-Vázquez S, González-Penedo M, Barceló MA, Pena-Seijo M, Coll-de-Tuero G, Pose-Reino A. Computer Methods and Programs in Biomedicine 2012; 108(1):367-376. doi: 10.1016/j.cmpb.2012.02.008 (Impact Factor: 3.424, COMPUTER SCIENCE, THEORY & METHODS  15/104 Q1)

Clinical epidemiology Eye fundus FRCV Method:Evaluation of diagnostic tests Q1 Selection on observables:Regression models
See article: https://pubmed.ncbi.nlm.nih.gov/22424729/

This article describes another of the most interesting contributions to the analysis of fundus images.

 

Specifically, we developed a method to enable the automatic reading of retinal vessel calibers and the calculation of the artery-vein index. These results were entered into automatic retinal vessel reading system SIRIUS.

See article: https://pubmed.ncbi.nlm.nih.gov/22424729/
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