Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Fernandes, Gabriel Castro
Orientador(a): Rigo, Sandro José
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade do Vale do Rio dos Sinos
Programa de Pós-Graduação: Programa de Pós-Graduação em Computação Aplicada
Departamento: Escola Politécnica
País: Brasil
Palavras-chave em Inglês:
Glaucoma
Artificial Intelligence
Diagnosis
Biomarker
Área do conhecimento CNPq:
ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Link de acesso: http://repositorio.jesuita.org.br/handle/UNISINOS/13562
Resumo: Nenhuma
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spelling 2025-03-19T19:31:33Z2025-03-19T19:31:33Z2024-07-26Submitted by Jeferson Carlos da Veiga Rodrigues (jveigar@unisinos.br) on 2025-03-19T19:31:33Z No. of bitstreams: 1 Gabriel Castro Fernandes_.pdf: 11327952 bytes, checksum: 8111973f555c0ae99a6e215ecefefbef (MD5)Made available in DSpace on 2025-03-19T19:31:33Z (GMT). No. of bitstreams: 1 Gabriel Castro Fernandes_.pdf: 11327952 bytes, checksum: 8111973f555c0ae99a6e215ecefefbef (MD5) Previous issue date: 2024-07-26NenhumaAnalyzing retina structure in high-resolution images, such as those obtained in optical coherence tomography, is one of the most widespread ways of identifying structural changes that may indicate the onset or progression of visual impairment. During the diagnosis process, the specialist performs several manual analyses of the data generated by imaging equipment. There is a consensus regarding the benefits of having support from automated approaches to help in this diagnosis process. Nevertheless, automated glaucoma detection using optical coherence tomography is still considered an area needing further research. This work presents an approach to foster automatic glaucoma evaluation considering convolutional neural networks for semantic segmentation of retinal layers through optical coherence tomography images and image processing for measuring the cup region in the optic nerve head portion. We provide a quantitative evaluation comparing the results obtained by a specialist physician. The work’s main contribution is presenting the first approach supporting the automation of a new biomarker for diagnosing glaucoma.Fernandes, Gabriel Castrohttp://lattes.cnpq.br/2370330768411535http://lattes.cnpq.br/3914159735707328Silva, Luiz José Schirmerhttp://lattes.cnpq.br/8490105798416004Rigo, Sandro JoséUniversidade do Vale do Rio dos SinosPrograma de Pós-Graduação em Computação AplicadaUnisinosBrasilEscola PolitécnicaExploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosisACCNPQ::Ciências Exatas e da Terra::Ciência da ComputaçãoGlaucomaArtificial IntelligenceDiagnosisBiomarkerinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://repositorio.jesuita.org.br/handle/UNISINOS/13562info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)instname:Universidade do Vale do Rio dos Sinos (UNISINOS)instacron:UNISINOSLICENSElicense.txtlicense.txttext/plain; charset=utf-82175http://repositorio.jesuita.org.br/bitstream/UNISINOS/13562/2/license.txt320e21f23402402ac4988605e1edd177MD52ORIGINALGabriel Castro Fernandes_.pdfGabriel Castro Fernandes_.pdfapplication/pdf11327952http://repositorio.jesuita.org.br/bitstream/UNISINOS/13562/1/Gabriel+Castro+Fernandes_.pdf8111973f555c0ae99a6e215ecefefbefMD51UNISINOS/135622025-03-19 16:33:33.974oai:www.repositorio.jesuita.org.br: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 Digital de Teses e DissertaçõesPRIhttp://www.repositorio.jesuita.org.br/oai/requestmaicons@unisinos.br ||dspace@unisinos.bropendoar:2025-03-19T19:33:33Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos) - Universidade do Vale do Rio dos Sinos (UNISINOS)false
dc.title.pt_BR.fl_str_mv Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
title Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
spellingShingle Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
Fernandes, Gabriel Castro
ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Glaucoma
Artificial Intelligence
Diagnosis
Biomarker
title_short Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
title_full Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
title_fullStr Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
title_full_unstemmed Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
title_sort Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis
author Fernandes, Gabriel Castro
author_facet Fernandes, Gabriel Castro
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/2370330768411535
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/3914159735707328
dc.contributor.author.fl_str_mv Fernandes, Gabriel Castro
dc.contributor.advisor-co1.fl_str_mv Silva, Luiz José Schirmer
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/8490105798416004
dc.contributor.advisor1.fl_str_mv Rigo, Sandro José
contributor_str_mv Silva, Luiz José Schirmer
Rigo, Sandro José
dc.subject.cnpq.fl_str_mv ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
topic ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Glaucoma
Artificial Intelligence
Diagnosis
Biomarker
dc.subject.eng.fl_str_mv Glaucoma
Artificial Intelligence
Diagnosis
Biomarker
description Nenhuma
publishDate 2024
dc.date.issued.fl_str_mv 2024-07-26
dc.date.accessioned.fl_str_mv 2025-03-19T19:31:33Z
dc.date.available.fl_str_mv 2025-03-19T19:31:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.jesuita.org.br/handle/UNISINOS/13562
url http://repositorio.jesuita.org.br/handle/UNISINOS/13562
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Computação Aplicada
dc.publisher.initials.fl_str_mv Unisinos
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola Politécnica
publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)
instname:Universidade do Vale do Rio dos Sinos (UNISINOS)
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