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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.

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Title: A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.
Authors: 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.
Source: European radiology [Eur Radiol] 2023 Jan; Vol. 33 (1), pp. 64-76. Date of Electronic Publication: 2022 Jul 28.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.
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  Data: <searchLink fieldCode="AU" term="%22Labus+S%22">Labus S</searchLink>; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany. sandra.labus@helios-gesundheit.de.<br /><searchLink fieldCode="AU" term="%22Altmann+MM%22">Altmann MM</searchLink>; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Huisman+H%22">Huisman H</searchLink>; Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Tong+A%22">Tong A</searchLink>; Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Penzkofer+T%22">Penzkofer T</searchLink>; Charité-Universitätsmedizin Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Choi+MH%22">Choi MH</searchLink>; Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shabunin+I%22">Shabunin I</searchLink>; Patero Clinic, Moscow, Russia.<br /><searchLink fieldCode="AU" term="%22Winkel+DJ%22">Winkel DJ</searchLink>; Department of Radiology, University Hospital of Basel, Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Xing+P%22">Xing P</searchLink>; Department of Radiology, Changhai Hospital, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Szolar+DH%22">Szolar DH</searchLink>; Diagnostikum Graz Süd-West, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Shea+SM%22">Shea SM</searchLink>; Loyola University Medical Center, Maywood, IL, USA.<br /><searchLink fieldCode="AU" term="%22Grimm+R%22">Grimm R</searchLink>; Diagnostic Imaging, Siemens Healthcare, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22von+Busch+H%22">von Busch H</searchLink>; Diagnostic Imaging, Siemens Healthcare, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Kamen+A%22">Kamen A</searchLink>; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Herold+T%22">Herold T</searchLink>; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Baumann+C%22">Baumann C</searchLink>; Department of Radiology, Helios Klinikum Berlin-Buch, Schwanebecker Ch 50, 13125, Berlin, Germany.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2023 Jan; Vol. 33 (1), pp. 64-76. <i>Date of Electronic Publication: </i>2022 Jul 28.
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              Text: 2023 Jan
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