dc.contributor.author | Moura, Joaquim de | |
dc.contributor.author | Novo Buján, Jorge | |
dc.contributor.author | Ortega Hortas, Marcos | |
dc.contributor.author | Barreira, Noelia | |
dc.contributor.author | Charlón, Pablo | |
dc.date.accessioned | 2024-06-17T08:43:00Z | |
dc.date.available | 2024-06-17T08:43:00Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Moura, 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: 10.5220/0006135003710377 | es_ES |
dc.identifier.isbn | 9789897582257 | |
dc.identifier.uri | http://hdl.handle.net/2183/36998 | |
dc.description | The 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | SCITEPRESS – Science and Technology Publications | es_ES |
dc.relation | info: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 VISIÓN | es_ES |
dc.relation | info: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 CLÍNICOS | es_ES |
dc.relation | info: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 MAQUINA | es_ES |
dc.relation.uri | https://doi.org/10.5220/0006135003710377 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Retinal imaging | es_ES |
dc.subject | Vascular tree | es_ES |
dc.subject | Segmentation | es_ES |
dc.subject | Artery/vein classification | es_ES |
dc.title | Artery/vein classification of blood vessel tree in retinal imaging | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP | es_ES |
UDC.volume | 4 | es_ES |
UDC.startPage | 371 | es_ES |
UDC.endPage | 377 | es_ES |
UDC.conferenceTitle | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017 | es_ES |