A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis-Reference-Cited by-同舟云学术

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A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis

Published:2020-11-03 Issue:1 Volume:32 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Zhang Yu-Dong,Satapathy Suresh Chandra,Liu Shuaiqi,Li Guang-Run

Funder

Royal Society International Exchanges Cost Share Award, UK

Henan Key Research and Development Project

Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Medical Research Council Confidence in Concept Award, UK

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s00138-020-01128-8.pdf

Reference29 articles.

1. Hadi, A.G., Kadhom, M., Hairunisa, N., Yousif, E., Mohammed, S.A.: A review on COVID-19: origin, spread, symptoms, treatment, and prevention. Biointerface Res. Appl. Chem. 10, 7234–7242 (2020)

2. Tsuchida, T., Fujitani, S., Yamasaki, Y., Kunishima, H., Matsuda, T.: Development of a protective device for RT-PCR testing SARS-CoV-2 in COVID-19 patients. Infect. Control Hosp. Epidemiol. 41, 975–976 (2020)

3. Penarrubia, L., Ruiz, M., Porco, R., Rao, S.N., Juanola-Falgarona, M., Manissero, D., et al.: Multiple assays in a real-time RT-PCR SARS-CoV-2 panel can mitigate the risk of loss of sensitivity by new genomic variants during the COVID-19 outbreak. Int. J. Infect. Dis. 97, 225–229 (2020)

4. Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W. et al.: Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology, Article ID: 200642, (2020)

5. Li, Y., Xia, L.: Coronavirus disease 2019 (COVID-19): role of chest CT in diagnosis and management. AJR Am. J. Roentgenol. 214, 1280–1286 (2020)

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