Arid
DOI10.3233/JIFS-211247
Lightweight deep residual network for Alzheimer's disease classification using sMRI slices
Zhang, Yanteng; Teng, Qizhi; Qing, Linbo; Liu, Yan; He, Xiaohai
通讯作者He, XH
来源期刊JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN1064-1246
EISSN1875-8967
出版年2022
卷号42期号:3页码:1885-1893
英文摘要Alzheimer's disease (AD) is a degenerative brain disease and the most common cause of dementia. In recent years, with the widespread application of artificial intelligence in the medical field, various deep learning-based methods have been applied for AD detection using sMRI images. Many of these networks achieved AD vs HC (Healthy Control) classification accuracy of up to 90% but with a large number of computational parameters and floating point operations (FLOPs). In this paper, we adopt a novel ghost module, which uses a series of cheap operations of linear transformation to generate more feature maps, embedded into our designed ResNet architecture for task of AD vs HC classification. According to experiments on the OASIS dataset, our lightweight network achieves an optimistic accuracy of 97.92% and its total parameters are dozens of times smaller than state-of-the-art deep learning networks. Our proposed AD classification network achieves better performance while the computational cost is reduced significantly.
英文关键词Deep learning ghost module residual network AD classification
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000752849700039
WOS类目Computer Science, Artificial Intelligence
WOS研究方向Computer Science
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376708
推荐引用方式
GB/T 7714
Zhang, Yanteng,Teng, Qizhi,Qing, Linbo,et al. Lightweight deep residual network for Alzheimer's disease classification using sMRI slices[J],2022,42(3):1885-1893.
APA Zhang, Yanteng,Teng, Qizhi,Qing, Linbo,Liu, Yan,&He, Xiaohai.(2022).Lightweight deep residual network for Alzheimer's disease classification using sMRI slices.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,42(3),1885-1893.
MLA Zhang, Yanteng,et al."Lightweight deep residual network for Alzheimer's disease classification using sMRI slices".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 42.3(2022):1885-1893.
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