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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Bibliografski detalji

Glavni autori:	Saman Sarraf, Arman Sarraf, Danielle D. DeSouza, John A. E. Anderson, Milton Kabia, The Alzheimer’s Disease Neuroimaging Initiative
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-02-01
Serija:	Brain Sciences
Teme:	Alzheimer’s disease MCI vision transformer rs-fMRI MRI
Online pristup:	https://www.mdpi.com/2076-3425/13/2/260
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