Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer’s disease (AD). Identifying MCI subjects who are at high risk of converting to AD is crucial for effective treatments. In this study, a deep learning approach based on convolutional neural networks (CNN), is designed to accurately p...

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Bibliographic Details
Main Authors: Weiming Lin, Tong Tong, Qinquan Gao, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Min Xiao, Min Du, Xiaobo Qu, The Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer’s disease
deep learning
convolutional neural networks
mild cognitive impairment
magnetic resonance imaging
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00777/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00777/full

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