Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance the Diagnosis of Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance the Diagnosis of Alzheimer’s Disease

Published:2023-12-16 Issue: Volume:35 Page:1-6
ISSN:
Container-title:2023 International Conference on Human-Centered Cognitive Systems (HCCS)
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Author:

Jing Shuiqing¹,Li Ruohan¹,Mu Shiguan¹,Shan Shixiao¹,Li Lanlan²,Li Jianlong³,Sun Yuan⁴,Cui Xinchun⁵

Affiliation:

1. Qufu Normal University,School of Computer Science,Rizhao,China

2. Second People’s Hospital of Rongcheng City,Department of Radiology,Weihai,China

3. Rizhao People’s Hospital,Department of Radiology,Rizhao,China

4. Digital Rizhao Company Limited,R&D Department,Rizhao,China

5. University of Health and Rehabilitation Science,School of Foundational Education,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452366/10452433/10452464.pdf?arnumber=10452464

Reference29 articles.

1. 2018 Alzheimer's disease facts and figures

2. Comprehensive Review on Alzheimer’s Disease: Causes and Treatment

3. Efficacy of an evidence-based cognitive stimulation therapy programme for people with dementia

4. Brain medical image diagnosis based on corners with importance-values

5. Deep feature extraction method based on ensemble of convolutional auto encoders: Application to Alzheimer’s disease diagnosis

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