A big data approach to explore medical imaging repositories based on DICOM

Detalhes bibliográficos
Autor(a) principal: Santos, Milton
Data de Publicação: 2023
Outros Autores: Rocha, Nelson Pacheco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/37771
Resumo: Medical imaging repositories based on the DICOM format such as Picture Archiving and Communication Systems have a huge potential from a big data perspective. The study reported by this paper aimed to verify on how the big data lifecycle processes, from production to consumption might be implemented to take advantage of the DICOM standard and respective data sources. After identifying the different processes (i.e., data collection, integration, filtering, anonymization and enrichment, and knowledge extraction) the study demonstrate their implementation using an open-source application able to access the DICOM metadata independently of the medical imaging modalities and equipment manufacturers.
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spelling A big data approach to explore medical imaging repositories based on DICOMBig DataDICOMData LifecycleMedical imaging repositories based on the DICOM format such as Picture Archiving and Communication Systems have a huge potential from a big data perspective. The study reported by this paper aimed to verify on how the big data lifecycle processes, from production to consumption might be implemented to take advantage of the DICOM standard and respective data sources. After identifying the different processes (i.e., data collection, integration, filtering, anonymization and enrichment, and knowledge extraction) the study demonstrate their implementation using an open-source application able to access the DICOM metadata independently of the medical imaging modalities and equipment manufacturers.Elsevier2023-05-19T07:38:07Z2023-01-01T00:00:00Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/37771eng1877-050910.1016/j.procs.2023.01.405Santos, MiltonRocha, Nelson Pachecoinfo: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:RCAAP2024-02-22T12:13:49Zoai:ria.ua.pt:10773/37771Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:08:22.755935Repositório 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 A big data approach to explore medical imaging repositories based on DICOM
title A big data approach to explore medical imaging repositories based on DICOM
spellingShingle A big data approach to explore medical imaging repositories based on DICOM
Santos, Milton
Big Data
DICOM
Data Lifecycle
title_short A big data approach to explore medical imaging repositories based on DICOM
title_full A big data approach to explore medical imaging repositories based on DICOM
title_fullStr A big data approach to explore medical imaging repositories based on DICOM
title_full_unstemmed A big data approach to explore medical imaging repositories based on DICOM
title_sort A big data approach to explore medical imaging repositories based on DICOM
author Santos, Milton
author_facet Santos, Milton
Rocha, Nelson Pacheco
author_role author
author2 Rocha, Nelson Pacheco
author2_role author
dc.contributor.author.fl_str_mv Santos, Milton
Rocha, Nelson Pacheco
dc.subject.por.fl_str_mv Big Data
DICOM
Data Lifecycle
topic Big Data
DICOM
Data Lifecycle
description Medical imaging repositories based on the DICOM format such as Picture Archiving and Communication Systems have a huge potential from a big data perspective. The study reported by this paper aimed to verify on how the big data lifecycle processes, from production to consumption might be implemented to take advantage of the DICOM standard and respective data sources. After identifying the different processes (i.e., data collection, integration, filtering, anonymization and enrichment, and knowledge extraction) the study demonstrate their implementation using an open-source application able to access the DICOM metadata independently of the medical imaging modalities and equipment manufacturers.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-19T07:38:07Z
2023-01-01T00:00:00Z
2023
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/10773/37771
url http://hdl.handle.net/10773/37771
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-0509
10.1016/j.procs.2023.01.405
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
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