Recognition and Identification of COVID-19 from Chest X-Rays for Earlier Diagnosis-Reference-Cited by-同舟云学术

Recognition and Identification of COVID-19 from Chest X-Rays for Earlier Diagnosis

Published:2024-04-18 Issue: Volume:13 Page:638-643
ISSN:
Container-title:2024 International Conference on Expert Clouds and Applications (ICOECA)
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Author:

P Kavitha¹,Sharma Manish²,M Pradeep Kumar G³,Barve Amit⁴,Patil Harshal⁵,Maranan Ramya⁶

Affiliation:

1. CMR Institute of Technology,Department of Computer Science and Engineering,Bengaluru,Karnataka,India,560037

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

3. BMS Institute of Technology and Management,Department of AI & ML,Bangalore,Karnataka,India,560064

4. Parul Institute of Technology, Parul University,Faculty of Engineering and Technology,Department of Computer Science and Engineering,P.O. Limda,Gujarat,India,391760

5. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Computer Science and Engineering,Pune,Maharashtra,India,412115

6. Saveetha School of Engineering,SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10612284/10612289/10612328.pdf?arnumber=10612328

Reference17 articles.

1. COVID-19: An Insight into SARS-CoV2 Pandemic Originated at Wuhan City in Hubei Province of China

2. Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China

3. X-Ray Equipped with Artificial Intelligence: Changing the COVID-19 Diagnostic Paradigm during the Pandemic

4. Detection of COVID-19 Based on Chest X-rays Using Deep Learning

5. Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture