Computational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections

Abstract

The coronavirus disease (COVID-19) has been identified and widely known as an invisible enemy in the history of mankind. The novel coronavirus continued to pose a significant risk to health, and even death of human on earth. Originated December 2019, in the Wuhan province of China, now vastly spreading around the globe like wildfire. The coronavirus pandemic caused the largest global largest recession in the history of mankind, with the largest global population at the time being placed on lockdown, quarantine, and isolation due to vastly spread of the pandemic. The initial stages of this outbreak, all over the countries around the globe, including the USA, faced one major threat—a lack of diagnostic tools and proper testing. In this context, the first step in medical practice is Diagnosis, which is very crucial for clinical decision making. Researchers have used different computational intelligence techniques to classify different types of diseases, such as Diabetes, Cancer, Epilepsy, Lungs, heart disease and Liver, etc., therefore, COVID-19 should not be an exception. This Chapter will systematically talk about the recent state-of-the-art computational intelligence (CI) approaches in the field of medical diagnosis of COVID-19 based on the medical image.