Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma

Detalhes bibliográficos
Autor(a) principal: Ebigbo, Alanna
Data de Publicação: 2019
Outros Autores: Mendel, Robert, Probst, Andreas, Manzeneder, Johannes, Souza, Luis Antonio de [UNESP], Papa, Joao P. [UNESP], Palm, Christoph, Messmann, Helmut
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1136/gutjnl-2018-317573
http://hdl.handle.net/11449/186777
Resumo: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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network_name_str Repositório Institucional da UNESP
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spelling Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinomaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Deutsche ForschungsgemeinschaftKlinikum Augsburg, Med Klin 3, D-86156 Augsburg, GermanyOstbayer Tech Hsch Regensburg OTH Regensburg Germ, Regensburg Med Image Comp ReMIC, Regensburg, GermanySao Paulo State Univ, Dept Comp, Sao Paulo, BrazilOTH Regensburg Germany, RCHST, Regensburg, GermanySao Paulo State Univ, Dept Comp, Sao Paulo, BrazilCAPES: BEX 0581-16-0Deutsche Forschungsgemeinschaft: PA 1595/3-1Bmj Publishing GroupKlinikum AugsburgOstbayer Tech Hsch Regensburg OTH Regensburg GermUniversidade Estadual Paulista (Unesp)OTH Regensburg GermanyEbigbo, AlannaMendel, RobertProbst, AndreasManzeneder, JohannesSouza, Luis Antonio de [UNESP]Papa, Joao P. [UNESP]Palm, ChristophMessmann, Helmut2019-10-06T03:06:06Z2019-10-06T03:06:06Z2019-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1143-U222http://dx.doi.org/10.1136/gutjnl-2018-317573Gut. London: Bmj Publishing Group, v. 68, n. 7, p. 1143-U222, 2019.0017-5749http://hdl.handle.net/11449/18677710.1136/gutjnl-2018-317573WOS:000471840200004Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGutinfo:eu-repo/semantics/openAccess2024-04-23T16:10:46Zoai:repositorio.unesp.br:11449/186777Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:10:46Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
title Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
spellingShingle Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
Ebigbo, Alanna
title_short Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
title_full Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
title_fullStr Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
title_full_unstemmed Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
title_sort Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
author Ebigbo, Alanna
author_facet Ebigbo, Alanna
Mendel, Robert
Probst, Andreas
Manzeneder, Johannes
Souza, Luis Antonio de [UNESP]
Papa, Joao P. [UNESP]
Palm, Christoph
Messmann, Helmut
author_role author
author2 Mendel, Robert
Probst, Andreas
Manzeneder, Johannes
Souza, Luis Antonio de [UNESP]
Papa, Joao P. [UNESP]
Palm, Christoph
Messmann, Helmut
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Klinikum Augsburg
Ostbayer Tech Hsch Regensburg OTH Regensburg Germ
Universidade Estadual Paulista (Unesp)
OTH Regensburg Germany
dc.contributor.author.fl_str_mv Ebigbo, Alanna
Mendel, Robert
Probst, Andreas
Manzeneder, Johannes
Souza, Luis Antonio de [UNESP]
Papa, Joao P. [UNESP]
Palm, Christoph
Messmann, Helmut
description Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T03:06:06Z
2019-10-06T03:06:06Z
2019-07-01
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://dx.doi.org/10.1136/gutjnl-2018-317573
Gut. London: Bmj Publishing Group, v. 68, n. 7, p. 1143-U222, 2019.
0017-5749
http://hdl.handle.net/11449/186777
10.1136/gutjnl-2018-317573
WOS:000471840200004
url http://dx.doi.org/10.1136/gutjnl-2018-317573
http://hdl.handle.net/11449/186777
identifier_str_mv Gut. London: Bmj Publishing Group, v. 68, n. 7, p. 1143-U222, 2019.
0017-5749
10.1136/gutjnl-2018-317573
WOS:000471840200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Gut
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1143-U222
dc.publisher.none.fl_str_mv Bmj Publishing Group
publisher.none.fl_str_mv Bmj Publishing Group
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964770662612992

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