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Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging Workflows.
Chepelev, Leonid L; Kwan, David; Kahn, Charles E; Filice, Ross W; Wang, Kenneth C.
Afiliação
  • Chepelev LL; From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, Univer
  • Kwan D; From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, Univer
  • Kahn CE; From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, Univer
  • Filice RW; From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, Univer
  • Wang KC; From the Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto General Hospital, 585 University Ave, 1-PMB 286, Toronto, ON, Canada M5G 2N2 (L.L.C.); Insygnia Consulting, Toronto, ON, Canada (D.K.); Department of Radiology, Perelman School of Medicine, Univer
Radiographics ; 43(3): e220098, 2023 03.
Article em En | MEDLINE | ID: mdl-36757882

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Ontologias Biológicas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Ontologias Biológicas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article