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Techniques and Features Analysis on COVID-19 X-Ray Image

Techniques and Features Analysis on COVID-19 X-Ray Image
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Author(s): Priyanka Singh (Rabindranath Tagore University, India)and S. Veenadhari (Rabindranath Tagore University, India)
Copyright: 2025
Pages: 14
Source title: Modern SuperHyperSoft Computing Trends in Science and Technology
Source Author(s)/Editor(s): Florentin Smarandache (University of New Mexico, USA)and Priyanka Majumder (Techno College of Engineering, Agartala, India)
DOI: 10.4018/979-8-3693-6875-6.ch018

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Abstract

The pandemic years made us think a lot about what's happening in health fields. COVID-19 has created a big medical emergency, putting a lot of pressure on healthcare workers. This paper conducts a comprehensive survey of various image diagnosis techniques aimed at facilitating swift decision-making by medical officers. The classification of images into infected or uninfected categories is a key focus, with each image processing technique relying on distinct features. The paper provides a detailed summary of various image features along with the techniques employed. Additionally, various evaluation parameters are listed to facilitate the comparison of techniques proposed by researchers.

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