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Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans
| dc.contributor.author | Otero, Iago | |
| dc.contributor.author | Vidal, Plácido | |
| dc.contributor.author | Moura, Joaquim de | |
| dc.contributor.author | Novo Buján, Jorge | |
| dc.contributor.author | Ortega Hortas, Marcos | |
| dc.date.accessioned | 2024-06-19T12:11:57Z | |
| dc.date.available | 2024-06-19T12:11:57Z | |
| dc.date.issued | 2019-04 | |
| dc.identifier.citation | I. 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.uri | http://hdl.handle.net/2183/37155 | |
| dc.description | The 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.sponsorship | This 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.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.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.subject | Optical Coherence Tomography (OCT) | es_ES |
| dc.subject | Macular Edema | es_ES |
| dc.subject | Diffuse Retinal Thickening (DRT) | es_ES |
| dc.subject | Cystoid Macular Edema (CME) | es_ES |
| dc.subject | Serous Retinal Detachment (SRD) | es_ES |
| dc.title | Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.conferenceTitle | European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19 | es_ES |
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.grupoInv | Grupo de Visión Artificial e Recoñecemento de Patróns (VARPA) | es_ES |
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