Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests

Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests

Background. Psychophysiological and cognitive tests as well as other functional studies can detect pre-symptomatic stages of dementia. When assembled with structural data, cognitive tests diagnose NDs more reliably thus becoming a multimodal diagnostic tool. Objective. Our main goal is to improve sc...

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Bibliographic Details
Main Authors: Tetiana Habuza, Nazar Zaki, Elfadil A. Mohamed, Yauhen Statsenko
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Error of cognitive score prediction
biomarker
Alzheimer’s disease
neuroimaging
convolutional neural network
deep learning
Online Access:https://ieeexplore.ieee.org/document/9773353/

Internet

https://ieeexplore.ieee.org/document/9773353/

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