A multi-scale feature selection module based architecture for the diagnosis of Alzheimer’s disease on [18F]FDG PET-Reference-Cited by-同舟云学术

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A multi-scale feature selection module based architecture for the diagnosis of Alzheimer’s disease on [18F]FDG PET

Published:2024-11 Issue: Volume:191 Page:105551
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Wang Yuling,Chen Shijie,Tian Xin,Lin Yuan,Han Dongqi,Yao Ping,Xu Hang,Wang Yuanyuan,Zhao Jie

Funder

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference35 articles.

1. Analysis of features of Alzheimer’s disease: detection of early stage from functional brain changes in magnetic resonance images using a finetuned resnet18 network;Odusami;Diagnostics,2021

2. Brain PET in suspected dementia: patterns of altered FDG metabolism;Brown;RadioGraphics,2014

3. Imaging biomarkers in neurodegeneration: current and future practices;Young;Alzheimers Res Ther,2020

4. The Alzheimer’s disease neuroimaging initiative: progress report and future plans;Weiner;Alzheimer’s & Dementia,2010

5. Current understanding of Alzheimer’s disease diagnosis and treatment;Weller,2018

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1. A HybridOpt approach for early Alzheimer’s Disease diagnostics with Ant Lion Optimizer (ALO);Alexandria Engineering Journal;2024-12

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