Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer’s Disease From Normal Control: An Exploratory Study Based on Structural MRI

OBJECTIVES: We proposed a novel deep learning radiomics (DLR) method to distinguish cognitively normal adults at risk of Alzheimer’s disease (AD) from normal control based on T1-weighted structural MRI images. METHODS: In this study, we selected MRI data from the Alzheimer’s Disease Neuroimaging Ini...

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Detalles Bibliográficos
Autores principales: Jiang, Jiehui, Zhang, Jieming, Li, Zhuoyuan, Li, Lanlan, Huang, Bingcang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070098/
https://www.ncbi.nlm.nih.gov/pubmed/35530047
http://dx.doi.org/10.3389/fmed.2022.894726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070098/
https://www.ncbi.nlm.nih.gov/pubmed/35530047
http://dx.doi.org/10.3389/fmed.2022.894726

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