ABSTRACT
COVID-19 originally surfaced in Wuhan China quickly propagated over the globe and become a pandemic. This has had a disastrous consequence for people’s regular life, healthcare, and the worldwide economy. It is indeed essential to find a positive individual as soon as feasible to avoid the pandemic from spreading wider and to cure infected individuals as promptly as necessary. A deep learning-based system was developed in this research to categorise four distinct kinds of chest X-ray pictures. We compared our result with the state-of-the-art architectures. It was observed that the proposed work gives us encouraging performance in the detection of COVID-19 among disparate sets of lung images captured normal as well as affected using homogeneous chest X-ray images.
