Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleEUROCAST 2022es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvGrupo de Visión Artificial e Recoñecemento de Patróns (VARPA)es_ES
UDC.journalTitleComputer Aided Systems Theoryes_ES
dc.contributor.authorBarrientos Lema, Iván
dc.contributor.authorMoura, Joaquim de
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorOrtega Hortas, Marcos
dc.contributor.authorPenedo, Manuel
dc.date.accessioned2024-06-14T11:51:20Z
dc.date.available2024-06-14T11:51:20Z
dc.date.issued2022
dc.description18th International Conference on Computer Aided Systems Theory, EUROCAST 2022, Las Palmas de Gran Canaria, 20 - 25 February 2022es_ES
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) 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/10.1007/978-3-031-25312-6_48es_ES
dc.description.abstract[Abstract]: In the field of ophthalmology, different imaging modalities are commonly used to carry out different clinical diagnostic procedures. Currently, both optical coherence tomography (OCT) and optical coherence tomography angiography (OCT-A) have made great advances in the study of the posterior pole of the eye and are essential for the diagnosis and monitoring of the treatment of different ocular and systemic diseases. On the other hand, the development of clinical decision support systems is an emerging field, in which clinical and technological advances are allowing clinical specialists to diagnose various pathologies with greater precision, which translates into more appropriate treatment and, consequently, an improvement in the quality of life of patients. This paper presents a clinical decision support tool for the identification of different pathological structures associated with age-related macular degeneration using OCT and OCT-A images. The system provides a useful tool that facilitates clinical decision-making in the diagnosis and treatment of this relevant disease.es_ES
dc.description.sponsorshipThis research was funded by Instituto de Salud Carlos III, Government of Spain, DTS18/00136 and PI17/00940 research projects; Ministerio de Ciencia e Innovación y Universidades, Government of Spain, RTI2018-095894-B-I00 research project; Ministerio de Ciencia e Innovación, Government of Spain through the research project with reference PID2019-108435RB-I00; Consellería de Cultura, Educación e Universidade, Xunta de Galicia, Grupos de Referencia Competitiva, grant ref. ED431C 2020/24 and postdoctoral grant ref. ED481B 2021/059; Axencia Galega de Innovación (GAIN), Xunta de Galicia, grant ref. IN845D 2020/38; CITIC, Centro de Investigación de Galicia ref. ED431G 2019/01, receives financial support from Con-sellería de Educación, Universidade e Formación Profesional, Xunta de Galicia, through the ERDF (80%) and Secretaría Xeral de Universidades (20%).es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2020/24es_ES
dc.description.sponsorshipXunta de Galicia; ED481B 2021/059es_ES
dc.description.sponsorshipXunta de Galicia; IN845D 2020/38es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.identifier.citationBarrientos, I., de Moura, J., Novo, J., Ortega, M., Penedo, M.G. (2022). Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham. https://doi.org/10.1007/978-3-031-25312-6_48es_ES
dc.identifier.doi10.1007/978-3-031-25312-6_48
dc.identifier.urihttp://hdl.handle.net/2183/36971
dc.language.isoenges_ES
dc.publisherSpringer Science and Business Media Deutschland GmbHes_ES
dc.relation.ispartofseriesLecture Notes in Computer Science; vol 13789es_ES
dc.relation.projectIDinfo: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 clínicaes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013–2016/PI17%2F00940/ES/MEDICINA PERSONALIZADA EN LA DEGENERACION MACULAR ASOCIADA A LA EDAD EN BASE A TECNICAS DE IMAGEN, FARMACOCINETICA Y FARMACOGENETICA (IMAGEPKGEN-DMAE)es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095894-B-I00/ES/DESARROLLO DE TECNOLOGIAS INTELIGENTES PARA DIAGNOSTICO DE LA DMAE BASADAS EN EL ANALISIS AUTOMATICO DE NUEVAS MODALIDADES HETEROGENEAS DE ADQUISICION DE IMAGEN OFTALMOLOGICAes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108435RB-I00/ES/CUANTIFICACIÓN Y CARACTERIZACIÓN COMPUTACIONAL DE IMAGEN MULTIMODAL OFTALMOLÓGICA: ESTUDIOS EN ESCLEROSIS MÚLTIPLEes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-25312-6_48es_ES
dc.rights©2022 Springer International Publishing AG.es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectAMDes_ES
dc.subjectCAD systemes_ES
dc.subjectDeep learninges_ES
dc.subjectOCTes_ES
dc.subjectOCT-Aes_ES
dc.titleClinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degenerationes_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
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