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Research progress of deep learning in sports injuries of bone and joint based on MRI
NI Ming  YUAN Huishu 

Cite this article as: Ni M, Yuan HS. Research progress of deep learning in sports injuries of bone and joint based on MRI[J]. Chin J Magn Reson Imaging, 2021, 12(8): 118-120. DOI:10.12015/issn.1674-8034.2021.08.028.


[Abstract] Deep learning is a hot direction in bone and joint imaging research. Unlike traditional machine learning, deep learning allows to learn data of different abstract levels directly through models constructed by multiple processing layers. At present, deep learning is mainly used in bone age measurement, fracture detection and osteoporosis research in the bone and joint system, while MRI-based research on bone and joint sports injuries is very rare, and the related research is still in its infancy. This study summarizes the research progress of deep learning based on MRI in bone and joint injuries, hoping to promote research in this field.
[Keywords] artificial intelligence；deep learning；magnetic resonance imaging；skeletal muscle；sports injury

NI Ming   YUAN Huishu*  

Department of Radiology, Peking University Third Hospital, Beijing 100191, China

Yuan HS, E-mail: huishuy@bjmu.edu.cn

Conflicts of interest   None.

Received  2021-02-25
Accepted  2021-03-18
DOI: 10.12015/issn.1674-8034.2021.08.028
Cite this article as: Ni M, Yuan HS. Research progress of deep learning in sports injuries of bone and joint based on MRI[J]. Chin J Magn Reson Imaging, 2021, 12(8): 118-120. DOI:10.12015/issn.1674-8034.2021.08.028.

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