Detection of Cervical Foraminal Stenosis from Oblique Radiograph Using Convolutional Neural Network Algorithm.

Journal: Yonsei medical journal
Published Date: Jul 1, 2024

Abstract

PURPOSE: This study was conducted to develop a convolutional neural network (CNN) algorithm that can diagnose cervical foraminal stenosis using oblique radiographs and evaluate its accuracy.

Authors

  • Jihie Kim
    Department of Artificial Intelligence, Dongguk University, Seoul, Korea.
  • Jae Jun Yang
    Department of Orthopedic Surgery, Dongguk University Ilsan Hospital, Goyang, Korea.
  • Jaeha Song
    Department of Computer Science and Engineering, Dongguk University, Seoul, Korea.
  • SeongWoon Jo
    Department of Statistics, Dongguk University, Seoul, Korea.
  • Younghoon Kim
  • Jiho Park
    Department of Artificial Intelligence, Dongguk University, Seoul, Korea.
  • Jin Bog Lee
    Department of Orthopedic Surgery, Dongguk University Ilsan Hospital, Goyang, Korea.
  • Gun Woo Lee
    Department of Orthopedic Surgery, Yeungnam University College of Medicine, Yeungnam University, Medical Center, 170 Hyonchung-ro, Namgu, Daegu, 42415, South Korea.
  • Sehan Park
    Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. birdone86@gmail.com.

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