Fast 3D reconstruction of the spine by non-expert users using a statistical articulated model
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
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 |
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.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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1799135981869203456 |