Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph.

Journal: BMC neurology
PMID: 35443618

Abstract

BACKGROUND: Deep learning (DL) is an advanced machine learning approach used in different areas such as image analysis, bioinformatics, and natural language processing. A convolutional neural network (CNN) is a representative DL model that is highly advantageous for imaging recognition and classification This study aimed to develop a CNN using lateral cervical spine radiograph to detect cervical spondylotic myelopathy (CSM).

Authors

  • Gun Woo Lee
    Department of Orthopedic Surgery, Yeungnam University College of Medicine, Yeungnam University, Medical Center, 170 Hyonchung-ro, Namgu, Daegu, 42415, South Korea.
  • Hyunkwang Shin
    Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Republic of Korea.
  • Min Cheol Chang
    Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu, Republic of Korea. Electronic address: wheel633@ynu.ac.kr.

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