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Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples
| dc.contributor.author | Vidal, Plácido | |
| dc.contributor.author | Moura, Joaquim de | |
| dc.contributor.author | Novo Buján, Jorge | |
| dc.contributor.author | Rouco, J. | |
| dc.contributor.author | Ortega Hortas, Marcos | |
| dc.date.accessioned | 2024-06-11T17:51:38Z | |
| dc.date.available | 2024-06-11T17:51:38Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Vidal, P.L.; Moura, J.d.; Novo, J.; Rouco, J.; Ortega, M. Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples. Proceedings 2018, 2, 1180. Presented at the XoveTIC Congress 2018. https://doi.org/10.3390/proceedings2181180 | es_ES |
| dc.identifier.issn | 2504-3900 | |
| dc.identifier.uri | http://hdl.handle.net/2183/36868 | |
| 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]: The work herein proposed presents a methodology which aims to identify cystoid regions using OCT scans. This method obtained satisfactory results detecting cystoid regions with different levels of complexity without needing any preprocessing nor candidate filtering steps. | 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. | 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/proceedings2181180 | 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 | Intraretinal cystoid region characterization | es_ES |
| dc.subject | Feature selection | es_ES |
| dc.subject | Classification | es_ES |
| dc.title | Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples | 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/proceedings2181180 | |
| UDC.conferenceTitle | XoveTIC 2018 | es_ES |
