The effect of deep feature concatenation in the classification problem: An approach on COVID ‐19 disease detection-Reference-Cited by-同舟云学术

The effect of deep feature concatenation in the classification problem: An approach on COVID ‐19 disease detection

Published:2021-10-10 Issue:1 Volume:32 Page:26-40
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Cengil Emine¹^ORCID,Çınar Ahmet¹

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering Firat University Elazig Turkey

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22659

Reference63 articles.

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3. World Health Organization.Novel Coronavirus (2019‐nCoV) Situation Report—10 [online]. Website. Accessed February 13 2020.https://www.who.int/docs/defaultsource/coronaviruse/situation‐reports/20200130‐sitrep‐10‐ncov.pdf?sfvrsn=d0b2e480_2

4. Variant analysis of SARS-CoV-2 genomes

5. Sağlik BakanliğiTC.COVID‐19 (SARS‐CoV2 enfeksiyonu) rehberi. Accessed July 16 2020.https://covid19bilgi.saglik.gov.tr/depo/rehberler/COVID-19_Rehberi.pdf

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