ABSTRACT
The World Health Organization has classified COVID-19 as a pandemic virus at this time. The conditions posed significant challenges for every nation on the planet, notably with the preparations made for health care and the lengthy reactions required. Because of the sudden rise in the number of infections due to COVID-19 disease and the limited resources for detecting it has become requisite to develop an artificial intelligence-based system for determining the COVID-19 disease. An increasing number of people throughout the world are testing positive for COVID-19 every day. A rapid and accurate identification of COVID-19 is a time-sensitive prerequisite for preventing and controlling the pandemic by means of appropriate isolation and medical treatment. The significance of the current work lies in its discussion of the overview of the deep learning approaches with diagnostic imaging. This includes topics such as various deep learning models and its impact in efficiently detecting the virus transmitted indications. © 2022 IEEE.