Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.

Abstract

Authors

• Stefan J Fransen
  University Medical Centre Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands. Electronic address: S.j.fransen@umcg.nl.
• Christian Roest
  Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Meditech Building, Room 305, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
• Quintin Y Van Lohuizen
  University Medical Centre Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
• Joeran S Bosma
  University Medical Centre Nijmegen, DIAG, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
• Frank F J Simonis
  Technical University Twente, TechMed Centre, Hallenweg 5, 7522 NH, Enschede, the Netherlands.
• Thomas C Kwee
  Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
• Derya Yakar
  Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: d.yakar@umcg.nl.
• Henkjan Huisman
  Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Keywords

External Resources