Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture

doi:10.1007/s11390-020-0679-8

PSYCH OpenIR

	Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
	Zhang, Xin 1; Lu, Siyuan 2; Wang, Shui-Hua 3,4; Yu, Xiang 2; Wang, Su-Jing 5,6; Yao, Lun 7; Pan, Yi 8; Zhang, Yu-Dong 2,9
通讯作者	Zhang, Yu-Dong(yudongzhang@ieee.org)
摘要	COVID-19 is a contagious infection that has severe effects on the global economy and our daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and radiologists. In this study, we use the deep learning network AlexNet as the backbone, and enhance it with the following two aspects: 1) adding batch normalization to help accelerate the training, reducing the internal covariance shift; 2) replacing the fully connected layer in AlexNet with three classifiers: SNN, ELM, and RVFL. Therefore, we have three novel models from the deep COVID network (DC-Net) framework, which are named DC-Net-S, DC-Net-E, and DC-Net-R, respectively. After comparison, we find the proposed DC-Net-R achieves an average accuracy of 90.91% on a private dataset (available upon email request) comprising of 296 images while the specificity reaches 96.13%, and has the best performance among all three proposed classifiers. In addition, we show that our DC-Net-R also performs much better than other existing algorithms in the literature.
关键词	pneumonia COVID-19 convolutional neural network AlexNet deep learning
	2022-04-01
语种	英语
DOI	10.1007/s11390-020-0679-8
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN	1000-9000
卷号	37 期号:2 页码:330-343
收录类别	SCI
资助项目	Royal Society International Exchanges Cost Share Award of UK[RP202G0230] ; Medical Research Council Confidence in Concept Award of UK[MC PC 17171] ; Hope Foundation for Cancer Research of UK[RM60G0680] ; British Heart Foundation Accelerator Award of UK[AA/18/3/34220] ; Sino-UK Industrial Fund[RP202G0289] ; Global Challenges Research Fund (GCRF) of UK[P202PF11] ; Fundamental Research Funds for the Central Universities of China[CDLS-2020-03] ; Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education of China, Henan Key Research and Development Project of China[182102310629] ; National Natural Science Foundation of China[U19B2032] ; National Natural Science Foundation of China[61772511]
出版者	SCIENCE PRESS
WOS关键词	UNIVERSAL APPROXIMATION THEOREM ; PATHOLOGICAL BRAIN DETECTION ; NEURAL-NETWORK ; RECOGNITION
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000787300400005
资助机构	Royal Society International Exchanges Cost Share Award of UK ; Medical Research Council Confidence in Concept Award of UK ; Hope Foundation for Cancer Research of UK ; British Heart Foundation Accelerator Award of UK ; Sino-UK Industrial Fund ; Global Challenges Research Fund (GCRF) of UK ; Fundamental Research Funds for the Central Universities of China ; Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education of China, Henan Key Research and Development Project of China ; National Natural Science Foundation of China
引用统计
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/42565
通讯作者	Zhang, Yu-Dong
作者单位	1.Fourth Peoples Hosp Huaian, Dept Med Imaging, Huaian 223002, Peoples R China 2.Univ Leicester, Sch Informat, Leicester LE1 7RH, Leics, England 3.Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough LE11 3TU, Leics, England 4.Univ Leicester, Sch Math & Actuarial Sci, Leicester LE1 7RH, Leics, England 5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 7.Fourth Peoples Hosp Huaian, Dept Infect Dis, Huaian 223002, Peoples R China 8.Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA 9.King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Syst, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Zhang, Xin,Lu, Siyuan,Wang, Shui-Hua,et al. Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2022,37(2):330-343.
APA	Zhang, Xin.,Lu, Siyuan.,Wang, Shui-Hua.,Yu, Xiang.,Wang, Su-Jing.,...&Zhang, Yu-Dong.(2022).Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,37(2),330-343.
MLA	Zhang, Xin,et al."Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 37.2(2022):330-343.