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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Detalles Bibliográficos
Autores principales: Sarraf, Saman, Sarraf, Arman, DeSouza, Danielle D., Anderson, John A. E., Kabia, Milton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954686/
https://www.ncbi.nlm.nih.gov/pubmed/36831803
http://dx.doi.org/10.3390/brainsci13020260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954686/
https://www.ncbi.nlm.nih.gov/pubmed/36831803
http://dx.doi.org/10.3390/brainsci13020260

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