Platform image processing to study the structural properties of retinal vessel

Verde, Gabino; García Ortiz, Luis; De Paz, Juan F.; Rodríguez González, Sara; Merchán Cifuentes, Miguel Ángel; Zato Domínguez, Davinia Carolina

Título

dc.contributor.author	Verde, Gabino
dc.contributor.author	García Ortiz, Luis
dc.contributor.author	De Paz, Juan F.
dc.contributor.author	Rodríguez González, Sara
dc.contributor.author	Merchán Cifuentes, Miguel Ángel
dc.contributor.author	Zato Domínguez, Davinia Carolina
dc.date.accessioned	2017-09-05T11:01:18Z
dc.date.available	2017-09-05T11:01:18Z
dc.date.issued	2013
dc.identifier.citation	Advances in Distributed Computing and Artificial Intelligence Journal. Volumen 2 (4), pp. 55-59. Universidad de Salamanca.
dc.identifier.isbn	2255-2863 (Online)
dc.identifier.uri	http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/9896
dc.identifier.uri	http://hdl.handle.net/10366/134346
dc.description.abstract	This paper presents a technological platform specialized in assessing retinal vessel caliber and describing the relationship of the results obtained to cardiovascular risk. Retinal circulation is an area of active research by numerous groups, and there is general experimental agreement on the analysis of the patterns of the retinal blood vessels in the normal human retina. The development of automated tools designed to improve performance and decrease interobserver variability, therefore, appears necessary.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Universidad de Salamanca
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Platform image processing to study the structural properties of retinal vessel
dc.type	info:eu-repo/semantics/article
dc.rights.accessRights	info:eu-repo/semantics/openAccess