Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging

Detalhes bibliográficos
Autor(a) principal: Barbosa, Marta
Data de Publicação: 2020
Outros Autores: Moreira, Pedro, Ribeiro, Rogério, Coelho, Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/17880
Resumo: Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
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spelling Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance ImagingLow-grade gliomaImage segmentationMRIProceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)In this article a new methodology is proposed to tackle the problem of automatic segmentation of low-grade gliomas. The possibility of knowing the limits of this type of tumor is crucial for effectively characterizing the neoplasm, enabling, in certain cases, to obtain useful information about how to treat the patient in a more effective way. Using a database of magnetic resonance images, containing several occurrences of this type of tumors, and through a carefully designed image processing pipeline, the purpose of this work is to accurately locate, isolate and thus facilitate the classification of the pathology. The proposed methodology, described in detail, was able to achieve an accuracy of 87.5% for a binary classification task. The quality of the identified regions had an accuracy of 81.6%. These are promising results that may point the effectiveness of the approach. The low contrast of the images, as a result of the acquisition process, and the detection of very small tumors are still challenges that bring motivation to further pursue additional results.SpringerRepositório Científico do Instituto Politécnico do PortoBarbosa, MartaMoreira, PedroRibeiro, RogérioCoelho, Luis20202100-01-01T00:00:00Z2020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/17880engBarbosa, M., Moreira, P., Ribeiro, R., Coelho, L., “Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging”. (2020) Advances in Intelligent Systems and Computing, 942, pp. 43-50. DOI: https://doi.org/10.1007/978-3-030-17065-3_510.1007/978-3-030-17065-3_5metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:09:03Zoai:recipp.ipp.pt:10400.22/17880Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:37:28.749348Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
title Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
spellingShingle Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
Barbosa, Marta
Low-grade glioma
Image segmentation
MRI
title_short Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
title_full Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
title_fullStr Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
title_full_unstemmed Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
title_sort Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging
author Barbosa, Marta
author_facet Barbosa, Marta
Moreira, Pedro
Ribeiro, Rogério
Coelho, Luis
author_role author
author2 Moreira, Pedro
Ribeiro, Rogério
Coelho, Luis
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Barbosa, Marta
Moreira, Pedro
Ribeiro, Rogério
Coelho, Luis
dc.subject.por.fl_str_mv Low-grade glioma
Image segmentation
MRI
topic Low-grade glioma
Image segmentation
MRI
description Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2100-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/17880
url http://hdl.handle.net/10400.22/17880
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Barbosa, M., Moreira, P., Ribeiro, R., Coelho, L., “Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging”. (2020) Advances in Intelligent Systems and Computing, 942, pp. 43-50. DOI: https://doi.org/10.1007/978-3-030-17065-3_5
10.1007/978-3-030-17065-3_5
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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