Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy.

Abstract

Authors

• Ruud J G van Sloun
  Laboratory of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. Electronic address: r.j.g.v.sloun@tue.nl.
• Rogier R Wildeboer
  Laboratory of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
• Christophe K Mannaerts
  Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
• Arnoud W Postema
  Department of Urology, Leiden University Medical Center, Leiden, The Netherlands.
• Maudy Gayet
  Department of Urology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
• Harrie P Beerlage
  Department of Urology, Amsterdam University Medical Centers (Amsterdam UMC), University of Amsterdam, Amsterdam, The Netherlands.
• Georg Salomon
  Martini Klinik-Prostate Cancer Center, University Hospital Hamburg Eppendorf, Hamburg, Germany.
• Hessel Wijkstra
  Laboratory of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
• Massimo Mischi
  Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Keywords

External Resources