摘要
综述了深度神经网络方法在阿尔兹海默病分类和预测中的应用.首先,描述了深度神经网络方法在阿尔兹海默病分类和预测中的优势.其次,介绍了深度神经网络方法在阿尔兹海默病分类和预测中的具体应用,重点介绍了文献中使用的深度神经网络模型、数据类型、研究人群和特征类型等,并比较它们在AD/MCI分类中的表现.最后,预测了该领域未来的发展趋势和挑战.
A comprehensive review of deep neural network methods in the classification and prediction of Alzheimer's disease is presented.Firstly,the advantages of deep neural network method in the classification and prediction of Alzheimer's disease is described.Secondly,the application of deep neural network method in the classification and prediction of Alzheimer's disease is introduced.The deep neural network model,data types,research population and feature types used in the literature are introduced,and compare their performance in the AD/MCI classification.Finally,the future development trends and challenges in the field are predicted.
作者
崔秀明
崔新春
刘永林
王婧
CUI Xiuming;CUI Xinchun;LIU Yonglin;WANG Jing(School of Information Science and Engineering,Qufu Normal University,276826,Rizhao,Shandong,PRC)
出处
《曲阜师范大学学报（自然科学版）》
CAS
2020年第1期56-67,共12页
Journal of Qufu Normal University(Natural Science)
基金
Ministry of Education Humanities and Social Sciences Project(11YJCZH021,15YJCZH111)
Shandong Social Science Planning Research Project(17CHLJ41,16CTQJ02,18CHLJ34)
关键词
阿尔兹海默病
卷积神经网络
深度置信网络
神经影像
Alzheimer's disease
convolutional neural network
deep belief network
neuroimaging
