Use of a Sparse-Response Deep Belief Network and Extreme Learning Machine to Discriminate Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls Based on Amyloid PET/MRI Images

Use of a Sparse-Response Deep Belief Network and Extreme Learning Machine to Discriminate Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls Based on Amyloid PET/MRI Images

In recent years, interest has grown in using computer-aided diagnosis (CAD) for Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). However, existing CAD technologies often overfit data and have poor generalizability. In this study, we proposed a sparse-response d...

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Bibliographic Details
Main Authors: Ping Zhou, Shuqing Jiang, Lun Yu, Yabo Feng, Chuxin Chen, Fang Li, Yang Liu, Zhongxiong Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Medicine
Subjects:
computer-aided diagnosis
Alzheimer's disease
mild cognitive impairment
sparse-response deep belief network
extreme learning machine
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2020.621204/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2020.621204/full

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