Development of retake support system for lateral knee radiographs by using deep convolutional neural network.

Journal: Radiography (London, England : 1995)
Published Date: Jun 3, 2021

Abstract

INTRODUCTION: Lateral radiography of the knee joint is frequently performed; however, the retake rate is high owing to positioning errors. Therefore, in this study, to reduce the required number and time of image retakes, we developed a system that can classify the tilting directions of lateral knee radiographs and evaluated the accuracy of the proposed method.

Authors

  • Y Ohta
    MedCity21, Division of Premier Preventive Medicine, Osaka City University Hospital, Abeno Harukasu 21F, Abenosuji 1-1-43, Abeno-ku Osaka, Osaka 545-8545, Japan.
  • H Matsuzawa
    Department of Radiology, Osaka University Hospital, Yamadaoka 2-15, Suita, Osaka 565-0871, Japan.
  • K Yamamoto
    Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Yamadaoka 1-7, Suita, Osaka 565-0871, Japan.
  • Y Enchi
    Department of Radiology, Osaka University Hospital, Yamadaoka 2-15, Suita, Osaka 565-0871, Japan.
  • T Kobayashi
    Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Yamadaoka 1-7, Suita, Osaka 565-0871, Japan.
  • T Ishida
    Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Yamadaoka 1-7, Suita, Osaka 565-0871, Japan. Electronic address: tishida@sahs.med.osaka-u.ac.jp.

Keywords

External Resources

Popular Topics
Recent Journals