The risk prediction of Alzheimer’s disease based on the deep learning model of brain 18F-FDG positron emission tomography
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Agricultural and Biological Sciences
Reference11 articles.
1. Brain and brown adipose tissue metabolism in transgenic Tg2576 mice models of Alzheimer disease assessed using 18F-FDG PET imaging;Coleman;Mol. Imaging,2017
2. 18F-FDG PET for prediction of conversion to Alzheimer’s disease dementia in people with mild cognitive impairment: an updated systematic review of test accuracy;Smailagic;J. Alzheimers Dis. Jad,2018
3. Can11C-PiB-PET relative delivery R1or11C-PiB-PET perfusion replace18F-FDG PET in the assessment of brain neurodegeneration;Oliveira;J. Alzheimers Dis.,2018
4. Study of the influence of age in 18F-FDG PET images using a data-driven approach and its evaluation in Alzheimer’s disease;Jiang;Contrast Media Mol. Imaging,2018
5. Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis;Ma;Transl. Neurodegen.,2018
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