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

Mei YangYiming ZhengZhiying XieZhaoxia WangJiangxi XiaoJue ZhangYun Yuan
Published in: BMC neurology (2021)
The deep model achieved excellent accuracy and sensitivity in identifying cases with dystrophinopathies. The comparable performance of the model and skilled radiologists demonstrates the potential application of the model in diagnosing dystrophinopathies through MRI images.
Keyphrases
  • deep learning
  • magnetic resonance imaging
  • skeletal muscle
  • contrast enhanced
  • optical coherence tomography
  • risk assessment
  • climate change