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Imaging research progress in mild cognitive impairment using convolutional neural networks
LI Xiaoling  WANG Jingxian  LI Ang  LI Meng  CAO Danna  WANG Feng  CUI Xuan  YAO Chunli  CAI Lina 

Cite this article as: Li XL, Wang JX, Li A, et al. Imaging research progress in mild cognitive impairment using convolutional neural networks[J]. Chin J Magn Reson Imaging, 2021, 12(9): 88-90, 94. DOI:10.12015/issn.1674-8034.2021.09.022.


[Abstract] The Human Connected Group Project is the highest-level research project in the field of brain imaging, and artificial intelligence (AI) is an indispensable tool in the process of brain science research. As one of the latest technologies in the field of AI, convolutional neural networks (CNN) have outstanding performance in computer vision, image processing, etc., and have shown great clinical application prospects in the diagnosis and analysis of mild cognitive impairment (MCI). The author uses CNN as a clue to discuss its current research status and future development direction in the field of MCI.
[Keywords] convolutional neural networks；mild cognitive impairment；brain；functional magnetic resonance imaging；structural magnetic resonance imaging

LI Xiaoling1   WANG Jingxian2   LI Ang3   LI Meng1   CAO Danna1   WANG Feng1*   CUI Xuan2   YAO Chunli2   CAI Lina2  

1 First Hospital Affiliated to Heilongjiang University of Chinese Medicine, Harbin 150040, China

2 Graduate School of Heilongjiang University of Chinese Medicine, Harbin 150040, China

3 Public Health Institute of Harbin Medical University, Harbin 150081, China

Wang F, E-mail: wfzmy123@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82074537, 81973930, 81373714). Heilongjiang Province Natural Science Foundation Project (No. LH2020H103, H2016081). Harbin Science and Technology Innovation Outstanding Academic Leaders Fund (No. 2016RAXYJ096). Ministry of Education "Chunhui Plan" (No. Z2009-1-15030). Harbin Science and Technology Innovation Outstanding Academic Leaders Fund (No. 2017RAQXJ180). Project of Heilongjiang University of Traditional Chinese Medicine (No. ZHY12-Z046). Scientific Research Project of Heilongjiang Health Department (No. 2012-346).
Received  2021-05-28
Accepted  2021-06-28
DOI: 10.12015/issn.1674-8034.2021.09.022
Cite this article as: Li XL, Wang JX, Li A, et al. Imaging research progress in mild cognitive impairment using convolutional neural networks[J]. Chin J Magn Reson Imaging, 2021, 12(9): 88-90, 94. DOI:10.12015/issn.1674-8034.2021.09.022.

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