OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19-Reference-Cited by-同舟云学术

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

Published:2020-09-21 Issue:3 Volume:51 Page:1351-1366
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Goel Tripti,Murugan R.^ORCID,Mirjalili Seyedali,Chakrabartty Deba Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01904-z.pdf

Reference38 articles.

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2. COVID-19 Coronavirus Pandemic (20120, February). Worldometers, Retrieved July 23, 2020, from https://www.worldometers.info/coronavirus/?utm_campaign=homeAdvegas1?

3. Butt C, Gill J, Chun D, Babu BA (2020) Deep learning system to screen coronavirus disease 2019 pneumonia. Appl Intell p.1. https://doi.org/10.1007/s10489-020-01714-3

4. Liu H, Liu F, Li J, Zhang T, Wang D, Lan W (2020) Clinical and CT imaging features of the COVID-19 pneumonia: focus on pregnant women and children. J Inf Secur 80:e7–e13

5. Bai Y, Yao L, Wei T, Tian F, Jin DY, Chen L, Wang M (2020) Presumed asymptomatic carrier transmission of COVID-19. JAMA 323(14):1406–1407

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