Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
文献类型：期刊论文
| 作者 | Zhang, Xin9; Lu, Siyuan8; Wang, Shui-Hua6,7; Yu, Xiang8; Wang, Su-Jing4,5 ; Yao, Lun3; Pan, Yi2; Zhang, Yu-Dong1,8
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| 刊名 | JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
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| 出版日期 | 2022-04-01 |
| 卷号 | 37期号:2页码:330-343 |
| ISSN号 | 1000-9000 |
| 关键词 | pneumonia COVID-19 convolutional neural network AlexNet deep learning |
| DOI | 10.1007/s11390-020-0679-8 |
| 通讯作者 | Zhang, Yu-Dong(yudongzhang@ieee.org) |
| 英文摘要 | 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. |
| 收录类别 | SCI |
| WOS关键词 | UNIVERSAL APPROXIMATION THEOREM ; PATHOLOGICAL BRAIN DETECTION ; NEURAL-NETWORK ; RECOGNITION |
| 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] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| 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 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/42567]  |
| 专题 | 心理研究所_中国科学院行为科学重点实验室 |
| 通讯作者 | Zhang, Yu-Dong |
| 作者单位 | 1.King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Syst, Jeddah 21589, Saudi Arabia 2.Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA 3.Fourth Peoples Hosp Huaian, Dept Infect Dis, Huaian 223002, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China 6.Univ Leicester, Sch Math & Actuarial Sci, Leicester LE1 7RH, Leics, England 7.Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough LE11 3TU, Leics, England 8.Univ Leicester, Sch Informat, Leicester LE1 7RH, Leics, England 9.Fourth Peoples Hosp Huaian, Dept Med Imaging, Huaian 223002, Peoples R China |
| 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. |
入库方式： OAI收割
来源：心理研究所
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