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Deep learning in fracture detection: a narrative review.
Kalmet, Pishtiwan H S; Sanduleanu, Sebastian; Primakov, Sergey; Wu, Guangyao; Jochems, Arthur; Refaee, Turkey; Ibrahim, Abdalla; Hulst, Luca V; Lambin, Philippe; Poeze, Martijn.
Afiliação
  • Kalmet PHS; Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht.
  • Sanduleanu S; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Primakov S; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Wu G; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Jochems A; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Refaee T; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Ibrahim A; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Hulst LV; Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht.
  • Lambin P; The D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht.
  • Poeze M; Maastricht University Medical Center+, Department of Trauma Surgery, Maastricht.
Acta Orthop ; 91(2): 215-220, 2020 04.
Article em En | MEDLINE | ID: mdl-31928116
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fraturas Ósseas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fraturas Ósseas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article