A Collection of Contemporary Research Articles in Electronics, Communication & Computation- Book ISBN- 978-81-948050-7-6

Authors: Abhinav Shubham, Soumendu Das

Abstract: The novel Coronavirus 2019 (COVID-19) continues to spread exponentially, especially in India, with total cases crossing the 20 lakh mark as of today. It has deeply affected daily lives, public health, and the economy of the whole world. A vital step in tackling COVID-19 is a successful screening of infected patients as soon as possible and treating them. There is a need for supplementary diagnostic tools apart from RT-PCR, which is easy to use and less contagious. Significant findings have proven that Chest X-rays (CXR) in combination with Deep learning algorithms for Image Processing are vital in finding infected patients. In this paper, we have explored the proposed methodologies of classifying the CXR images taken from various sources into COVID-19 positive and negative classes.

Keywords: COVID-19 detection, COVID-19 classification, Chest X-ray (CXR), Radiographs, Convolution Neural Networks (CNN), Deep learning.