Title: Deep learning approaches in detection of COVID-19 using X-ray images

Authors: Shibili Said; Mredhula Lokanathan

Addresses: Department of ECE, MES College of Engineering, Kuttippuram, Kerala, 679582, India ' Department of ECE, MES College of Engineering, Kuttippuram, Kerala, 679582, India

Abstract: We all have seen how badly COVID-19 had affected our lives. The utilisation of deep learning in analysing covid is a promising research area. This paper brief on the utilisation of deep learning in analysing covid X-ray. Convolutional neural network (CNN), a deep learning algorithm is utilised here, to study the detection of covid X-rays. The literature shows several successful deep learning models in detection of COVID-19. In this paper, we have implemented shallow layered simple CNN and deep layered CoroNet (which is taken from literature) using three different datasets. This paper would give a brief picture of deep learning in covid classification.

Keywords: deep learning; covid X-rays; convolutional neural network; CNN.

DOI: 10.1504/IJMEI.2024.141791

International Journal of Medical Engineering and Informatics, 2024 Vol.16 No.6, pp.516 - 522

Received: 26 Dec 2021
Accepted: 15 Jun 2022
Published online: 02 Oct 2024 *

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