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ADVIAN: Alzheimer's Disease VGG-Inspired Attention Network Based on Convolutional Block Attention Module and Multiple Way Data Augmentation

Aim: Alzheimer's disease is a neurodegenerative disease that causes 60–70% of all cases of dementia. This study is to provide a novel method that can identify AD more accurately. Methods: We first propose a VGG-inspired network (VIN) as the backbone network and investigate the use of attention...

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Bibliografiske detaljer
Udgivet i:Front Aging Neurosci
Main Authors: Wang, Shui-Hua, Zhou, Qinghua, Yang, Ming, Zhang, Yu-Dong
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
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Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8250430/
https://ncbi.nlm.nih.gov/pubmed/34220487
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2021.687456
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