Deep learning detection of subtle fractures using staged algorithms to mimic radiologist search pattern.

Journal: Skeletal radiology
Published Date: Feb 12, 2021

Abstract

OBJECTIVE: To develop and evaluate a two-stage deep convolutional neural network system that mimics a radiologist's search pattern for detecting two small fractures: triquetral avulsion fractures and Segond fractures.

Authors

  • Mark Ren
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, MD, Baltimore, USA.
  • Paul H Yi
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: Pyi10@jhmi.edu.

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