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A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.
Labus, Sandra; Altmann, Martin M; Huisman, Henkjan; Tong, Angela; Penzkofer, Tobias; Choi, Moon Hyung; Shabunin, Ivan; Winkel, David J; Xing, Pengyi; Szolar, Dieter H; Shea, Steven M; Grimm, Robert; von Busch, Heinrich; Kamen, Ali; Herold, Thomas; Baumann, Clemens.
Afiliação
  • Labus S; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany. sandra.labus@helios-gesundheit.de.
  • Altmann MM; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.
  • Huisman H; Radboud University Medical Center, Nijmegen, The Netherlands.
  • Tong A; Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
  • Penzkofer T; Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Choi MH; Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
  • Shabunin I; Patero Clinic, Moscow, Russia.
  • Winkel DJ; Department of Radiology, University Hospital of Basel, Basel, Switzerland.
  • Xing P; Department of Radiology, Changhai Hospital, Shanghai, China.
  • Szolar DH; Diagnostikum Graz Süd-West, Graz, Austria.
  • Shea SM; Loyola University Medical Center, Maywood, IL, USA.
  • Grimm R; Diagnostic Imaging, Siemens Healthcare, Erlangen, Germany.
  • von Busch H; Diagnostic Imaging, Siemens Healthcare, Erlangen, Germany.
  • Kamen A; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Herold T; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.
  • Baumann C; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.
Eur Radiol ; 33(1): 64-76, 2023 Jan.
Article em En | MEDLINE | ID: mdl-35900376
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo / Imageamento por Ressonância Magnética Multiparamétrica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo / Imageamento por Ressonância Magnética Multiparamétrica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha