Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (8): 14-21.doi: 10.6040/j.issn.1671-7554.0.2019.1503

• Special Topic on Brain Science and Brain Like Intelligence • Previous Articles     Next Articles

Intelligent diagnosis methods of Alzheimer's disease

Yilong YIN1,*(),Xiaoming XI2,Xianjing MENG3   

  1. 1. MLA Lab in School of Software, Shandong University, Jinan 250101, Shandong, China
    2. School of Computer Science and Technology, Shandong Jianzhu University, Jinan 250101, Shandong, China
    3. School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, Shandong, China
  • Received:2019-12-27 Online:2020-08-07 Published:2020-08-07
  • Contact: Yilong YIN E-mail:ylyin@sdu.edu.cn

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Abstract:

As the number of elderly people increases, Alzheimer's disease (AD) has become a tremendous economic and societal burden. The research on AD has been considered an important global public health topic. However, there is currently no cure for AD; therefore, early detection is very helpful for the diagnosis. Neuroimaging plays an important role for the early diagnosis of AD among all detection tools and has attracted great attention in recent years. In order to provide new insights into the intelligent diagnosis methods of AD, this paper reviews the recent advances including methods based on single-modality and multi-modality and discusses the future work.

Key words: Alzheimer's disease, Neuroimaging, Intelligent diagnosis

CLC Number: 

  • R574

Table 1

Introduction of existing databases"

数据库 包含模态 包含分组
ADNI MRI、PET、生物标记、临床评估分值等 NC、MCI、AD
OASIS MRI NC、轻中度AD
MIRIAD MRI、MMSE等 NC、轻中度AD
AIBL PET、CSF NC、MCI、AD

Fig.1

Introduction of AD diagnosis methods"

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