Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images

OBJECTIVE: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression of memory impairment. We aimed to develop a new deep belief network (DBN) framework using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) metabolic imaging to identify pa...

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Detalles Bibliográficos
Autores principales: Shen, Ting, Jiang, Jiehui, Lu, Jiaying, Wang, Min, Zuo, Chuantao, Yu, Zhihua, Yan, Zhuangzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764042/
https://www.ncbi.nlm.nih.gov/pubmed/31552787
http://dx.doi.org/10.1177/1536012119877285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764042/
https://www.ncbi.nlm.nih.gov/pubmed/31552787
http://dx.doi.org/10.1177/1536012119877285

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