Evaluation of a novel deep learning-based classifier for perifissural nodules.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN).

Authors

  • Daiwei Han
    University Medical Center Groningen, Department of Radiology, University of Groningen, Groningen, The Netherlands.
  • Marjolein Heuvelmans
    University Medical Center Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands. m.a.heuvelmans@umcg.nl.
  • Mieneke Rook
    University Medical Center Groningen, Department of Radiology, University of Groningen, Groningen, The Netherlands.
  • Monique Dorrius
    University Medical Center Groningen, Department of Radiology, University of Groningen, Groningen, The Netherlands.
  • Luutsen van Houten
    University Medical Center Groningen, Department of Radiology, University of Groningen, Groningen, The Netherlands.
  • Noah Waterfield Price
    Optellum Ltd, Oxford, UK.
  • Lyndsey C Pickup
    Optellum Ltd., Oxford, United Kingdom.
  • Petr Novotny
    Respiratory Medicine, Glenfield General Hospital, Leicester, UK.
  • Matthijs Oudkerk
    University Medical Center, Groningen, The Netherlands.
  • Jérôme Declerck
    Siemens Molecular Imaging, Oxford, UK.
  • Fergus Gleeson
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Peter van Ooijen
    Department of Radiation Oncology, Coordinator Machine Learning Lab, Data Science Center in Health (DASH), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
  • Rozemarijn Vliegenthart
    University of Groningen, University Medical Center Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.