A Systematic Literature Review of Deep Learning Algorithms for Segmentation of the COVID-19 Infection-Reference-Cited by-同舟云学术

A Systematic Literature Review of Deep Learning Algorithms for Segmentation of the COVID-19 Infection

Published:2023 Issue:3 Volume:75 Page:5717-5742
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Alshomrani Shroog,Arif Muhammad,A. Al Ghamdi Mohammed

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v75n3/52613/pdf

Reference98 articles.

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2. WHO Director-general’s opening remarks at the media briefing on COVID-19-11th March 2020,” 2020. [Online]. Available: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—2-march-2020. Accessed: 2021-08-30.

3. Dynamics of the coronavirus disease 2019 (COVID-19) epidemic in Wuhan City, Hubei Province and China: A second derivative analysis of the cumulative daily diagnosed cases during the first 85 days;Zhang;Glob Health Journal,2021

4. World Health Organization, “WHO Coronavirus (COVID-19) dashboard,” 2022. [Online]. Available: https://covid19.who.int/. Accessed: 2022-12-30.

5. Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT;Bai;Radiology,2020