MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models

MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models

Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and AD through artificial intelligence has captured considerable scholarly interest; researchers hope to develop therapie...

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Bibliographic Details
Main Authors: Saman Sarraf, Danielle D. Desouza, John A. E. Anderson, Cristina Saverino
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
classification
structural and functional magnetic resonance imaging
brain
Alzheimer’s disease
MCI
Online Access:https://ieeexplore.ieee.org/document/8883215/

Internet

https://ieeexplore.ieee.org/document/8883215/

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