Application of Image Processing for COVID-19: A Review

Abstract

Abstract: The outburst of COVID-19 was first detected in Wuhan city of China as an unidentified viral disease at the end of 2019, and consequently it has spread all over the world as a pandemic. COVID-19 mostly spreads through close contact, respiratory droplets through coughing, talking and sneezing, and cluster infections. Different countries have invented different vaccines to stabilize the pandemic situation. But until now, it is not stabilized and every day, a large percentage of people are getting infected and sometimes, in severe cases, it results in the loss of life. Many researchers are working in different ways to protect, diagnose, and early detection of coronavirus disease (COVID- 19). Different image processing techniques, along with modern technologies like machine learning, Artificial Intelligence, Deep Learning, have already been used to fight against this disease. In this study, we have reviewed all applications of image processing for the diagnosis of COVID-19 patients in detail. At first, we reviewed X-ray image-based techniques to diagnose COVID-19 patients along with their drawbacks and results. Then CT scan picture-based various techniques are discussed for the diagnosis and for the treatment of this disease. At last, we have reviewed different ultrasound images based on various techniques to measure the severity of COVID-19 patients. All techniques are discussed with their merits and demerits along with their applications.