Accuracy of deep learning model-assisted amyloid positron emission tomography scan in predicting Alzheimer's disease: A Systematic Review and meta-analysis

Accuracy of deep learning model-assisted amyloid positron emission tomography scan in predicting Alzheimer's disease: A Systematic Review and meta-analysis

Background and aim: Alzheimer's disease (AD) is a neurodegenerative disease that attacks the brain by deposited amyloid-beta and neurofibrillary tangles. This study aimed to evaluate the diagnostic characteristics of deep learning (DL) in predicting AD with an amyloid positron emission tomograp...

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Bibliographic Details
Main Authors: Kiarash Shirbandi, Mohammad Khalafi, Mohammad Mirza-Aghazadeh-Attari, Marziyeh Tahmasbi, Hassan Kiani Shahvandi, Pouya Javanmardi, Fakher Rahim
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Dementia
Alzheimer's disease
Diagnosis
Neuroimaging
Positron-emission tomography
Amyloid tracer
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821001921

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http://www.sciencedirect.com/science/article/pii/S2352914821001921

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