Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study.

Journal: Clinical physiology and functional imaging
PMID:

Abstract

AIM: To test the feasibility of a fully automated artificial intelligence-based method providing PET measures of prostate cancer (PCa).

Authors

  • Mike A Mortensen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Pablo Borrelli
    Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Mads Hvid Poulsen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Oke Gerke
    Department of Nuclear Medicine, Odense University Hospital, 29 Sdr. Boulevard, 5000 Odense, Denmark. oke.gerke@rsyd.dk.
  • Olof Enqvist
    Department of Electrical Engineering, Region Västra Götaland, Chalmers University of Technology, Gothenburg, Sweden.
  • Johannes Ulén
    Eigenvision AB, Malmö, Sweden.
  • Elin Trägårdh
    Department of Clinical Physiology and Nuclear Medicine, Lund University and Skåne University Hospital, Malmö, Sweden.
  • Caius Constantinescu
    Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
  • Lars Edenbrandt
    Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Lars Lund
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Poul Flemming Høilund-Carlsen
    Department of Clinical Research, University of Southern Denmark, Odense, Denmark.