Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference.

Journal: Skeletal radiology
Published Date: Aug 1, 2020

Abstract

OBJECTIVE: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears.

Authors

  • Benjamin Fritz
    Department of Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland. benjamin.fritz@balgrist.ch.
  • Giuseppe Marbach
    Balzano Informatik AG, Zurich, Switzerland.
  • Francesco Civardi
    Balzano Informatik AG, Zurich, Switzerland.
  • Sandro F Fucentese
    Faculty of Medicine, University of Zurich, Zurich, Switzerland.
  • Christian W A Pfirrmann
    Department of Radiology, Balgrist University Hospital, Forchstrasse 340, CH-8008, Zurich, Switzerland.

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