Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

Computerized healthcare has undergone rapid development thanks to the advances in medical imaging and machine learning technologies. Especially, recent progress on deep learning opens a new era for multimedia based clinical decision support. In this paper, we use deep learning with brain network and...

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Bibliographic Details
Published in:	IEEE/ACM transactions on computational biology and bioinformatics Vol. 16; no. 1; pp. 244 - 257
Main Authors:	Ju, Ronghui, Hu, Chenhui, Zhou, Pan, Li, Quanzheng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Aged Aged, 80 and over Aging Alzheimer Disease - diagnostic imaging Alzheimer's disease Brain Brain - diagnostic imaging Brain mapping Brain Mapping - methods Brain network Classifiers Cognitive ability Correlation Deep Learning Dementia Diagnosis Early Diagnosis Feature extraction Female Functional magnetic resonance imaging Health care Humans Image Interpretation, Computer-Assisted - methods Learning algorithms Machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Multimedia Neural networks Neurodegenerative diseases Neuroimaging Prediction models
ISSN:	1545-5963, 1557-9964, 1557-9964
Online Access:	Get full text
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