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Computer-Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI.
Tibrewala, Radhika; Ozhinsky, Eugene; Shah, Rutwik; Flament, Io; Crossley, Kay; Srinivasan, Ramya; Souza, Richard; Link, Thomas M; Pedoia, Valentina; Majumdar, Sharmila.
Afiliación
  • Tibrewala R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Ozhinsky E; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Shah R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Flament I; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Crossley K; La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, Australia.
  • Srinivasan R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Souza R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Link TM; Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, California, USA.
  • Pedoia V; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Majumdar S; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
J Magn Reson Imaging ; 52(4): 1163-1172, 2020 10.
Article en En | MEDLINE | ID: mdl-32293775
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Interpretación de Imagen Asistida por Computador Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Interpretación de Imagen Asistida por Computador Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos