Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.

Journal: European radiology
Published Date: May 20, 2021

Abstract

OBJECTIVE: To develop a deep learning algorithm capable of evaluating subscapularis tendon (SSC) tears based on axillary lateral shoulder radiography.

Authors

  • Yusuhn Kang
    Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea. yskang0114@gmail.com.
  • Dongjun Choi
    Department of Radiology, Seoul National University Bundang Hospital, Seongnam.
  • Kyong Joon Lee
    Department of Radiology, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Republic of Korea.
  • Joo Han Oh
    Department of Orthopedic Surgery, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
  • Bo Ram Kim
    Interdisciplinary Program in Senior Human Ecology, Changwon National University, Changwon, 51140 Korea.
  • Joong Mo Ahn
    Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.

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