OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer’s Disease Using Resting-State fMRI and Structural MRI Data

OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer’s Disease Using Resting-State fMRI and Structural MRI Data

Advances in applied machine learning techniques for neuroimaging have encouraged scientists to implement models to diagnose brain disorders such as Alzheimer’s disease at early stages. Predicting the exact stage of Alzheimer’s disease is challenging; however, complex deep learning techniques can pre...

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Bibliographic Details
Main Authors: Saman Sarraf, Arman Sarraf, Danielle D. DeSouza, John A. E. Anderson, Milton Kabia, The Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Brain Sciences
Subjects:
Alzheimer’s disease
MCI
vision transformer
rs-fMRI
MRI
Online Access:https://www.mdpi.com/2076-3425/13/2/260

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