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Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists.
Swiecicki, Albert; Li, Nianyi; O'Donnell, Jonathan; Said, Nicholas; Yang, Jichen; Mather, Richard C; Jiranek, William A; Mazurowski, Maciej A.
  • Swiecicki A; Department of Electrical and Computer Engineering, Duke University, Durham, USA.
  • Li N; Department of Electrical and Computer Engineering, Duke University, Durham, USA.
  • O'Donnell J; Department of Radiology, Duke University, Durham, USA.
  • Said N; Department of Radiology, Duke University, Durham, USA.
  • Yang J; Department of Electrical and Computer Engineering, Duke University, Durham, USA. Electronic address: jy168@duke.edu.
  • Mather RC; Department of Orthopaedic Surgery, Duke University, Durham, USA.
  • Jiranek WA; Department of Orthopaedic Surgery, Duke University, Durham, USA.
  • Mazurowski MA; Department of Electrical and Computer Engineering, Duke University, Durham, USA; Department of Radiology, Duke University, Durham, USA.
Comput Biol Med ; 133: 104334, 2021 06.
Article en En | MEDLINE | ID: mdl-33823398
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Osteoartritis de la Rodilla / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Osteoartritis de la Rodilla / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article