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Automatic System for the Identification and Visualization of the Retinal Vessel Tree Using OCT Imaging
| dc.contributor.author | Moura, Joaquim de | |
| dc.contributor.author | Novo Buján, Jorge | |
| dc.contributor.author | Barreira, Noelia | |
| dc.contributor.author | Penedo, Manuel | |
| dc.contributor.author | Ortega Hortas, Marcos | |
| dc.date.accessioned | 2024-06-11T17:37:34Z | |
| dc.date.available | 2024-06-11T17:37:34Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Moura, J.d.; Novo, J.; Barreira, N.; Penedo, M.G.; Ortega, M. Automatic System for the Identification and Visualization of the Retinal Vessel Tree Using OCT Imaging. Proceedings 2018, 2, 1168. Presented at the XoveTIC Congress 2018. https://doi.org/10.3390/proceedings2181168 | es_ES |
| dc.identifier.issn | 2504-3900 | |
| dc.identifier.uri | http://hdl.handle.net/2183/36867 | |
| dc.description | Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018 | es_ES |
| dc.description | Extended Abstract | es_ES |
| dc.description.abstract | [Abstract]: This paper proposes a system for the three-dimensional identification and visualization of the retinal vasculature using Optical Coherence Tomography (OCT) scans. This fully automatic tool provides useful biomarkers to the medical specialists that facilitate the prevention, diagnosis and treatment of various retinal and systemic pathologies. | 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 Economía y Competitividad, Government of Spain through the DPI2015-69948-R research project. Also, this work has received financial support from the European Union (European Regional Development Fund-ERDF) and the Xunta de Galicia, Centro singular de investigación de Galicia accreditation 2016-2019, Ref. ED431G/01; and Grupos de Referencia Competitiva, Ref. ED431C 2016-047. | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2016-047 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | 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/10.3390/proceedings2181168 | es_ES |
| dc.rights | Atribución 4.0 Internacional | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Computer-aided diagnosis | es_ES |
| dc.subject | Retinal imaging | es_ES |
| dc.subject | Optical Coherence Tomography | es_ES |
| dc.subject | Vasculature | es_ES |
| dc.subject | Retinal microcirculation | es_ES |
| dc.title | Automatic System for the Identification and Visualization of the Retinal Vessel Tree Using OCT Imaging | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | Proceedings | es_ES |
| UDC.volume | 2 | es_ES |
| UDC.issue | 18 | es_ES |
| UDC.startPage | 1 | es_ES |
| UDC.endPage | 2 | es_ES |
| dc.identifier.doi | 10.3390/proceedings2181168 | |
| UDC.conferenceTitle | XoveTIC 2018 | es_ES |
