曲阜师范大学学报（自然科学版）2020，Vol.46Issue(2)：57-66,10.DOI:10.3969/j.issn.1001-5337.2020.2.057
迁移学习在阿尔茨海默病早期诊断中的应用
Application of transfer learning in early diagnosis of Alzheimer's disease
摘要
Abstract
Transfer learning algorithm and its application in the early diagnosis of Alzheimer's disease (AD) are described.Firstly,the application of transfer learning in the classification and diagnosis of Alzheimer's disease is analyzed.Next,the related theoretical knowledge about transfer learning is depicted.Then,the research progress of AD diagnosis based on transfer learning algorithm is introduced.The application of existing methods in early diagnosis of AD is analyzed from the aspects of instance based transfer,feature based transfer and model based transfer,respectively.Finally,the problems and challenges of transfer learning in this field and its future development trends are presented.关键词
阿尔茨海默病/轻度认知障碍/迁移学习/AD诊断Key words
Alzheimer's disease/mild cognitive impairment/transfer learning/AD diagnosis分类
信息技术与安全科学引用本文复制引用
刘永林,崔新春,崔秀明,王婧..迁移学习在阿尔茨海默病早期诊断中的应用[J].曲阜师范大学学报（自然科学版）,2020,46(2):57-66,10.基金项目
Ministry of Education Humanities and Social Sciences Project (11YJCZH021,15YJCZH111) （11YJCZH021,15YJCZH111）
Shandong Social Sciences Planning Research Project (17CHLJ41,18CHLJ34,16CTQJ02). （17CHLJ41,18CHLJ34,16CTQJ02）
