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dc.contributor.authorMoura, Joaquim de
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorOrtega Hortas, Marcos
dc.contributor.authorBarreira, Noelia
dc.contributor.authorCharlón, Pablo
dc.date.accessioned2024-06-17T08:43:00Z
dc.date.available2024-06-17T08:43:00Z
dc.date.issued2017
dc.identifier.citationMoura, J. de; Novo, J.; Ortega, M.; Barreira, N. and Charlón, P. (2017). Artery/vein Classification of Blood Vessel Tree in Retinal Imaging. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 371-377. DOI: 10.5220/0006135003710377es_ES
dc.identifier.isbn9789897582257
dc.identifier.urihttp://hdl.handle.net/2183/36998
dc.descriptionThe conference was held in Porto, Portugal, 27 February - 1 March, 2017.es_ES
dc.description.abstract[Absctract]: Alterations in the retinal microcirculation are signs of relevant diseases such as hypertension, arteriosclerosis, or diabetes. Specifically, arterial constriction and narrowing were associated with early stages of hypertension. Moreover, retinal vasculature abnormalities may be useful indicators for cerebrovascular and cardiovascular diseases. The Arterio-Venous Ratio (AVR), that measures the relation between arteries and veins, is one of the most referenced ways of quantifying the changes in the retinal vessel tree. Since these alterations affect differently arteries and veins, a precise characterization of both types of vessels is a key issue in the development of automatic diagnosis systems. In this work, we propose a methodology for the automatic vessel classification between arteries and veins in eye fundus images. The proposal was tested and validated with 19 near-infrared reflectance retinographies. The methodology provided satisfactory results, in a complex domain as is the retinal vessel tree identification and classification.es_ES
dc.description.sponsorshipThis work is supported by the Instituto de Salud Carlos III, Government of Spain and FEDER funds of the European Union through the PI14/02161 and the DTS15/00153 research projects and by the Ministerio de Econom´ıa y Competitividad, Government of Spain through the DPI2015-69948-R research project.es_ES
dc.language.isoenges_ES
dc.publisherSCITEPRESS – Science and Technology Publicationses_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI14%2F02161/ES/DESARROLLO DE UN SISTEMA AUTOMÁTICO PARA EL CÁLCULO Y VISUALIZACIÓN DE PROPIEDADES ANATÓMICAS DE LA RETINA EN SD-OCT Y SU CORRELACIÓN CON ANÁLISIS FUNCIONALES HETEROGÉNEOS DE LA VISIÓNes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DTS15%2F00153/ES/SIRIUS - SISTEMA DE ANÁLISIS DE MICROCIRCULACIÓN RETINIANA: EVALUACIÓN MULTIDISCIPLINAR E INTEGRACIÓN EN PROTOCOLOS CLÍNICOSes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2015-69948-R/ES/IDENTIFICACION Y CARACTERIZACION DEL EDEMA MACULAR DIABETICO MEDIANTE ANALISIS AUTOMATICO DE TOMOGRAFIAS DE COHERENCIA OPTICA Y TECNICAS DE APRENDIZAJE MAQUINAes_ES
dc.relation.urihttps://doi.org/10.5220/0006135003710377es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectRetinal imaginges_ES
dc.subjectVascular treees_ES
dc.subjectSegmentationes_ES
dc.subjectArtery/vein classificationes_ES
dc.titleArtery/vein classification of blood vessel tree in retinal imaginges_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPPes_ES
UDC.volume4es_ES
UDC.startPage371es_ES
UDC.endPage377es_ES
UDC.conferenceTitle12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017es_ES


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