Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345625 | Computer Methods and Programs in Biomedicine | 2012 | 10 Pages |
Abstract
Our results show that compared with an observer-based method, our method achieves high sensitivity and specificity in the automated detection of retinal arteries and veins. In addition the system is robust enough independently of the radii finally chosen, which makes it more trustworthy in its clinical application. We conclude that the system represents an automatic method of detecting arteries and veins to measure the calibre of retinal microcirculation across digital pictures of the eye fundus.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Marc Saez, Sonia González-Vázquez, Manuel González-Penedo, Maria Antònia Barceló, Marta Pena-Seijo, Gabriel Coll de Tuero, Antonio Pose-Reino,