Rapid COVID-19 spotting and classification using computed tomography scan image

Covid-19 infection originated from a mutated virus that affects the human lung immediately as per the clinical study of infected reports. The fatal viral infection affects personal lives, health, and the economy. Covid-19 caused a huge death rate in shorter time due to the virus spread in the air media but still, no country has an proficient approach to control it. Rapid COVID-19 identification in suspected patients is essential for the present critical situation for prompt quarantine options and to proceed with effective remedial action. The most effective imaging procedures for identifying lung-related diseases are chest x-ray radiography and Chest Computed Tomography. Hence a faster and more accurate review of the COVID screening process from the huge Population through CT scans is effectively done through Deep and machine learning approaches. A poster-Anterior chest image was used to identify the covid-19 persons to differentiate them from healthy persons. Here the SVM based model is used to categorize the COVID-19 Patient for the rapid screening process to control the present situation.