CNN and swin-transformer based efficient model for Alzheimer’s disease diagnosis with sMRI-Reference-Cited by-同舟云学术

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CNN and swin-transformer based efficient model for Alzheimer’s disease diagnosis with sMRI

Published:2023-09 Issue: Volume:86 Page:105189
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Xin Jiaming,Wang Ancong,Guo Rui,Liu Weifeng^ORCID,Tang Xiaoying

Funder

American University of Sharjah

Alzheimer's Disease Neuroimaging Initiative

Dementia Collaborative Research Centres, Australia

Science and Industry Endowment Fund

McCusker Alzheimer's Research Foundation

National Institute on Aging

Yulgilbar Foundation

National Institute of Biomedical Imaging and Bioengineering

National Health and Medical Research Council

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference51 articles.

1. 100 years and counting: prospects for defeating Alzheimer's disease;Roberson;Science,2006

2. Alzheimer's disease facts and figures. (2020). Alzheimers Dement. https://doi.org/10.1002/alz.12068.

3. Vulnerable neural systems and the borderland of brain aging and neurodegeneration;Jagust;Neuron,2013

4. Current and future treatments in Alzheimer's disease;Atri;Semin. Neurol.,2019

5. S.I. Khan, R.B. Pachori. Automated Eye Movement Classification Based on EMG of EOM Signals Using FBSE-EWT Technique. Ieee Transactions on Human-Machine Systems. https://doi.org/10.1109/thms.2023.3238113.

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