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Multi-expert analysis and validation of objective vascular tortuosity measurements
dc.contributor.author | Ramos, Lucía | |
dc.contributor.author | Novo Buján, Jorge | |
dc.contributor.author | Rouco, J. | |
dc.contributor.author | Romeo, S. | |
dc.contributor.author | Álvarez, M. D. | |
dc.contributor.author | Ortega Hortas, Marcos | |
dc.date.accessioned | 2024-06-26T09:40:47Z | |
dc.date.available | 2024-06-26T09:40:47Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | L. Ramos, J. Novo, J. Rouco, S. Romeo, M. D. Álvarez, y M. Ortega, «Multi-expert analysis and validation of objective vascular tortuosity measurements», Procedia Computer Science, vol. 126, pp. 482-489, 2018, doi: 10.1016/j.procs.2018.07.282. | es_ES |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/2183/37409 | |
dc.description | The conference was held in Belgrade, Serbia, 3-5 September 2018. | es_ES |
dc.description.abstract | [Absctract]: The retinal vascular tortuosity is a commonly used parameter for the early diagnosis of several diseases that affects the circulatory system. The manual analysis of fundus images for the tortuosity characterization is a time-consuming and subjective task that presents a high inter-rater variability. Thus, automatic image processing methods allow the efficient computation of objective and stable parameters for the issue. The validation of these methods is crucial to ensure an objective and reliable environment for the retinal experts. This paper describes a multi-expert analysis that measures the clinical performance as well as a validation procedure of the computational tortuosity module of the Sirius framework, a computer-aided diagnosis platform for analyzing retinal images. | es_ES |
dc.description.sponsorship | This research has been economically 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. Also, this work has received financial support from the European Union (European Regional Development Fund - ERDF) and the Xunta de Galicia, 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.publisher | Elsevier | 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/10.1016/j.procs.2018.07.282 | 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 circulation | es_ES |
dc.subject | Vascular tortuosity | es_ES |
dc.subject | Fundus images | es_ES |
dc.subject | Computer-aided diagnosis | es_ES |
dc.subject | Image analysis | es_ES |
dc.title | Multi-expert analysis and validation of objective vascular tortuosity measurements | 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 | Procedia Computer Science | es_ES |
UDC.volume | 126 | es_ES |
UDC.startPage | 482 | es_ES |
UDC.endPage | 489 | es_ES |
UDC.conferenceTitle | International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES2018) | es_ES |