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Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging.
Cao, Ruiming; Zhong, Xinran; Afshari, Sohrab; Felker, Ely; Suvannarerg, Voraparee; Tubtawee, Teeravut; Vangala, Sitaram; Scalzo, Fabien; Raman, Steven; Sung, Kyunghyun.
Afiliación
  • Cao R; Department of Bioengineering, UC Berkeley, Berkeley, California, USA.
  • Zhong X; Department of Radiation Oncology, UT Southwestern, Dallas, Texas, USA.
  • Afshari S; Department of Radiology, UCLA, Los Angeles, California, USA.
  • Felker E; Department of Radiology, UCLA, Los Angeles, California, USA.
  • Suvannarerg V; Department of Radiology, UCLA, Los Angeles, California, USA.
  • Tubtawee T; Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Vangala S; Department of Radiology, UCLA, Los Angeles, California, USA.
  • Scalzo F; Department of Radiology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
  • Raman S; Department of Medicine Statistics Core, UCLA, Los Angeles, California, USA.
  • Sung K; Department of Neurology, UCLA, Los Angeles, California, USA.
J Magn Reson Imaging ; 54(2): 474-483, 2021 08.
Article en En | MEDLINE | ID: mdl-33709532
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo / Imágenes de Resonancia Magnética Multiparamétrica Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos