A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.

Journal: BMC neurology
Published Date: Jan 11, 2021

Abstract

BACKGROUND: Dystrophinopathies are the most common type of inherited muscular diseases. Muscle biopsy and genetic tests are effective to diagnose the disease but cost much more than primary hospitals can reach. The more available muscle MRI is promising but its diagnostic results highly depends on doctors' experiences. This study intends to explore a way of deploying a deep learning model for muscle MRI images to diagnose dystrophinopathies.

Authors

  • Mei Yang
    Department of Geriatric Cardiology; National Center for Clinical Research of Geriatric Diseases, Xiangya Hospital, Central South University, Changsha 410008, China.
  • Yiming Zheng
    Department of Neurology, Peking University First Hospital, Beijing, China.
  • Zhiying Xie
    Department of Neurology, Peking University First Hospital, Beijing, China.
  • Zhaoxia Wang
    Department of Neurology, Peking University First Hospital, Beijing, China.
  • Jiangxi Xiao
    Department of Radiology, Peking University First Hospital, Beijing, China.
  • Jue Zhang
    Wuhan University Zhongnan Hospital, Wuhan 430071, China.
  • Yun Yuan
    Department of Neurology, Peking University First Hospital, Beijing, China. yuanyun2002@126.com.

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