Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique-Reference-Cited by-同舟云学术

Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

Published:2020-11 Issue: Volume:140 Page:110071
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Altan Aytaç^ORCID,Karasu Seçkin^ORCID

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference41 articles.

1. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N Engl J Med,2020

2. World Health Organization. (2020). Coronavirus disease 2019 (COVID-19): situation report, 154.

3. https://coronavirus.jhu.edu/map.html [Accessed April 11, 2020].

4. World Health Organization. (2020). Coronavirus disease 2019 (COVID-19): situation report, 51.

5. The reproductive number of COVID-19 is higher compared to SARS coronavirus;Liu;Journal of travel medicine.,2020

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