Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures.

Journal: Journal of medical imaging and radiation oncology
Published Date: Feb 1, 2019

Abstract

INTRODUCTION: To evaluate the accuracy of deep convolutional neural networks (DCNNs) for detecting neck of femur (NoF) fractures on radiographs, in comparison with perceptual training in medically-naïve individuals.

Authors

  • Matthew Adams
    Radiology Department, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
  • Weijia Chen
    School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
  • David Holcdorf
    Radiology Department, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
  • Mark W McCusker
    Radiology Department, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
  • Piers Dl Howe
    School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
  • Frank Gaillard
    4 Department of Radiology, University of Melbourne , Parkville, VIC , Australia.

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