Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier-Reference-Cited by-同舟云学术

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Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier

Published:2023-06-05 Issue:6 Volume:11 Page:2183-2195
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Rastogi Vanshika¹,Jain Ajit Kumar²

Affiliation:

1. Research Scholar, Computer Science & Engineering, Banasthali Vidyapith, Tonk, Rajasthan, India

2. Associate Professor, Computer Science, Banasthali Vidyapith, Tonk, Rajasthan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2219767

Reference36 articles.

1. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

2. Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global health emergency

3. An efficient and low complex model for optimal RBM features with weighted score-based ensemble multi-disease prediction

4. Coronavirus: Why Men are More Vulnerable to Covid-19 Than Women?

5. Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron

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