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Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images
| dc.contributor.author | Vidal, Plácido | |
| dc.contributor.author | Moura, Joaquim de | |
| dc.contributor.author | Novo Buján, Jorge | |
| dc.contributor.author | Penedo, Manuel | |
| dc.contributor.author | Ortega Hortas, Marcos | |
| dc.date.accessioned | 2024-06-14T17:14:48Z | |
| dc.date.available | 2024-06-14T17:14:48Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Vidal, P., de Moura, J., Novo, J., Penedo, M.G., Ortega, M. (2020). Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_34 | es_ES |
| dc.identifier.isbn | 978-3-030-45095-3 | |
| dc.identifier.isbn | 978-3-030-45096-0 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | http://hdl.handle.net/2183/36986 | |
| dc.description | This version of the conference paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-45096-0_34. | es_ES |
| dc.description | 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, Las Palmas de Gran Canaria, Spain, February 17–22, 2019. | es_ES |
| dc.description | Includes the extended abstract. | es_ES |
| dc.description.abstract | [Abstract]: Fluid accumulations in between the retinal layers represent one of the main causes of blindness in developed countries. Currently, these fluid accumulations are detected by means of a manual inspection of Optical Coherence Tomography images, prone to subjective and non-quantifiable diagnostics. For this reason, numerous works aimed for an automated methodology. Nonetheless, these systems mostly focus on obtaining a defined segmentation, which is not always possible. For this reason, we present in this work a fully automatic methodology based in a fuzzy and confidence-based visualization of a regional analysis, allowing the clinicians to study the fluid accumulations independently of their distribution, complications and/or other artifacts that may complicate the identification process. | 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 DTS18/00136 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 | Springer | es_ES |
| dc.relation | info:eu-repo/grantAgreement/MICINN/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/DTS18%2F00136/ES/PLATAFORMA ONLINE PARA PREVENCIÓN Y DETECCIÓN PRECOZ DE ENFERMEDAD VASCULAR MEDIANTE ANÁLISIS AUTOMATIZADO DE INFORMACIÓN E IMAGEN CLÍNICA | 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.ispartofseries | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 12014 | es_ES |
| dc.relation.uri | https://doi.org/10.1007/978-3-030-45096-0_34 | es_ES |
| dc.rights | © 2020 Springer Nature Switzerland AG | es_ES |
| dc.subject | Optical Coherence Tomography | es_ES |
| dc.subject | Intraretinal cystoid fluid regions | es_ES |
| dc.subject | Computer-aided diagnosis | es_ES |
| dc.subject | Pathology map generation | es_ES |
| dc.title | Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images | 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 | Computer Aided Systems Theory | es_ES |
| UDC.startPage | 270 | es_ES |
| UDC.endPage | 278 | es_ES |
| dc.identifier.doi | 10.1007/978-3-030-45096-0_34 | |
| UDC.conferenceTitle | EUROCAST 2019 | es_ES |
