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Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans

dc.contributor.authorOtero, Iago
dc.contributor.authorVidal, Plácido
dc.contributor.authorMoura, Joaquim de
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorOrtega Hortas, Marcos
dc.date.accessioned2024-06-19T12:11:57Z
dc.date.available2024-06-19T12:11:57Z
dc.date.issued2019-04
dc.identifier.citationI. Otero, P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Computerized tool for the identification and enhanced visualization of Macular Edema regions using OCT scans", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19, 565-570, Bruges, Belgium, April 2019.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/37155
dc.descriptionThe conference was held in Bruges, Belgium, April 2019.es_ES
dc.description.abstract[Absctract]: We propose a novel methodology using Optical Coherence Tomography (OCT) images to detect the 3 clinically defined types of Macular Edema, which is among the main causes of blindness: Diffuse Retinal Thickening (DRT), Cystoid Macular Edema (CME) and Serous Retinal Detachment (SRD). To perform this detection, we sample the images and train models to create an intuitive color map that represents the 3 pathologies to facilitate the clinical evaluation. The proposed method was tested using a dataset composed by 96 OCT images. The system provided satisfactory results with accuracy values of 90.49%, 93.23% and 88.87% for the CME, SRD and DRT detections, respectively.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 DTS15/00153 research project, by the Ministerio de Econom´ıa y Competitividad, Government of Spain through the DPI2015-69948-R research project; also, by the European Union (European Regional Development Fund - ERDF) and the Xunta de Galicia through Centro singular de investigaci´on de Galicia accreditation 2016-2019, Ref. ED431G/01, and Grupos de Referencia Competitiva, Ref. ED431C 2016-047.es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-047es_ES
dc.language.isoenges_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.subjectOptical Coherence Tomography (OCT)es_ES
dc.subjectMacular Edemaes_ES
dc.subjectDiffuse Retinal Thickening (DRT)es_ES
dc.subjectCystoid Macular Edema (CME)es_ES
dc.subjectSerous Retinal Detachment (SRD)es_ES
dc.titleComputerized tool for identification and enhanced visualization of Macular Edema regions using OCT scanses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.conferenceTitleEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19es_ES


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