Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model

Detalhes bibliográficos
Autor(a) principal: Daniel C. Moura
Data de Publicação: 2010
Outros Autores: Jonathan Boisvert, Jorge G. Barbosa, João Manuel R. S. Tavares, Hubert Labelle
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/24375
Resumo: Three-dimensional spine reconstruction methods currently used to study scoliosis require manual identification of several anatomical features, which is time-consuming, costly and error-prone.
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spelling Fast 3D reconstruction of the spine by non-expert users using a statistical articulated modelTecnologia de computadores, Engenharia electrotécnica, electrónica e informáticaComputer technology, Electrical engineering, Electronic engineering, Information engineeringThree-dimensional spine reconstruction methods currently used to study scoliosis require manual identification of several anatomical features, which is time-consuming, costly and error-prone.20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/24375engDaniel C. MouraJonathan BoisvertJorge G. BarbosaJoão Manuel R. S. TavaresHubert Labelleinfo: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:RCAAP2023-11-29T14:38:27Zoai:repositorio-aberto.up.pt:10216/24375Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:05:46.781687Repositório 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 Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
title Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
spellingShingle Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
Daniel C. Moura
Tecnologia de computadores, Engenharia electrotécnica, electrónica e informática
Computer technology, Electrical engineering, Electronic engineering, Information engineering
title_short Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
title_full Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
title_fullStr Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
title_full_unstemmed Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
title_sort Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
author Daniel C. Moura
author_facet Daniel C. Moura
Jonathan Boisvert
Jorge G. Barbosa
João Manuel R. S. Tavares
Hubert Labelle
author_role author
author2 Jonathan Boisvert
Jorge G. Barbosa
João Manuel R. S. Tavares
Hubert Labelle
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Daniel C. Moura
Jonathan Boisvert
Jorge G. Barbosa
João Manuel R. S. Tavares
Hubert Labelle
dc.subject.por.fl_str_mv Tecnologia de computadores, Engenharia electrotécnica, electrónica e informática
Computer technology, Electrical engineering, Electronic engineering, Information engineering
topic Tecnologia de computadores, Engenharia electrotécnica, electrónica e informática
Computer technology, Electrical engineering, Electronic engineering, Information engineering
description Three-dimensional spine reconstruction methods currently used to study scoliosis require manual identification of several anatomical features, which is time-consuming, costly and error-prone.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/24375
url https://hdl.handle.net/10216/24375
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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