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. |
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| 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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