SURVEY ON PROBABILISTIC DETERMINATION OF CORONA VIRUS INFECTION

Abstract

One of the most morbid infections in recent times is Covid-19, having a potential to cause death in human beings.  Covid-19 are a set of RNA viruses which lead to deadly disease in both birds and mammals. This pandemic already has led to tens of millions of deaths and infected several times more people worldwide. The exponential expansion in COVID-19 patients is overpowering medical care frameworks over the world. The death rate is increasing drastically as a result. An effective testing method is to conduct swab tests in order to determine if the person is infected with Covid-19. This becomes very handy in the medical field as diagnosis is rather quick and simple. However, medical image processing provides further information, and is an emergent field in recent times. We have proposed the use of  modern Image Processing mechanism to detect COVID-19 patients using the dataset of CT (Computed Tomography) scan images in an automated manner. This dataset is used to perform a comparison between different CT scan images of COVID-19 positive cases together with Normal lung CT images.