Classification of Alzheimer’s Disease Based on Deep Learning of Brain Structural and Metabolic Data

To improve the diagnosis and classification of Alzheimer’s disease (AD), a modeling method is proposed based on the combining magnetic resonance images (MRI) brain structural data with metabolite levels of the frontal and parietal regions. First, multi-atlas brain segmentation technology based on T1...

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Detalles Bibliográficos
Autores principales: Wang, Huiquan, Feng, Tianzi, Zhao, Zhe, Bai, Xue, Han, Guang, Wang, Jinhai, Dai, Zongrui, Wang, Rong, Zhao, Weibiao, Ren, Fuxin, Gao, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315355/
https://www.ncbi.nlm.nih.gov/pubmed/35903535
http://dx.doi.org/10.3389/fnagi.2022.927217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315355/
https://www.ncbi.nlm.nih.gov/pubmed/35903535
http://dx.doi.org/10.3389/fnagi.2022.927217

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