Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Journal: Skeletal radiology
Published Date: Jun 28, 2018

Abstract

OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.

Authors

  • Takaaki Urakawa
    Department of Orthopedic Surgery, Tsuruoka Municipal Shonai Hospital, 4-20 Izumi-machi, Tsuruoka-shi, Yamagata, 997-8515, Japan. takaaki-u@mwe.biglobe.ne.jp.
  • Yuki Tanaka
    Department of Orthopedic Surgery, Tsuruoka Municipal Shonai Hospital, 4-20 Izumi-machi, Tsuruoka-shi, Yamagata, 997-8515, Japan.
  • Shinichi Goto
    Division of General Internal Medicine & Family Medicine, Department of General and Acute Medicine, Tokai University School of Medicine, Isehara, Japan.
  • Hitoshi Matsuzawa
    Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, 1-757 Asahimachi, Niigata, 951-8585, Japan.
  • Kei Watanabe
    Division of Orthopedic Surgery, Department of Regenerative and Transplant Medicine, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Niigata, 951-8510, Japan.
  • Naoto Endo
    Division of Orthopedic Surgery, Department of Regenerative and Transplant Medicine, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Niigata, 951-8510, Japan.

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