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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Hlavní autoři:	Tetiana Habuza, Nazar Zaki, Elfadil A. Mohamed, Yauhen Statsenko
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Access
Témata:	Error of cognitive score prediction biomarker Alzheimer’s disease neuroimaging convolutional neural network deep learning
On-line přístup:	https://ieeexplore.ieee.org/document/9773353/
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