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Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.
Netzer, Nils; Weißer, Cedric; Schelb, Patrick; Wang, Xianfeng; Qin, Xiaoyan; Görtz, Magdalena; Schütz, Viktoria; Radtke, Jan Philipp; Hielscher, Thomas; Schwab, Constantin; Stenzinger, Albrecht; Kuder, Tristan Anselm; Gnirs, Regula; Hohenfellner, Markus; Schlemmer, Heinz-Peter; Maier-Hein, Klaus H; Bonekamp, David.
Afiliación
  • Görtz M; Department of Urology, University of Heidelberg Medical Center.
  • Schütz V; Department of Urology, University of Heidelberg Medical Center.
  • Hielscher T; Division of Biostatistics, German Cancer Research Center.
  • Schwab C; Institute of Pathology, University of Heidelberg Medical Center.
  • Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center.
  • Kuder TA; Division of Medical Physics in Radiology.
  • Gnirs R; From the Division of Radiology, German Cancer Research Center.
  • Hohenfellner M; Department of Urology, University of Heidelberg Medical Center.
Invest Radiol ; 56(12): 799-808, 2021 12 01.
Article en En | MEDLINE | ID: mdl-34049336
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans / Male / Middle aged Idioma: En Revista: Invest Radiol Año: 2021 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans / Male / Middle aged Idioma: En Revista: Invest Radiol Año: 2021 Tipo del documento: Article