Classifying healthy and infected Covid-19 cases by employing CT scan images

A broad family of viruses called coronaviruses may infect people. The infection's symptoms are often relatively minor and resemble a normal cold. Since the coronavirus disease 2019 (Covid-19) has never been observed in humans, anyone can contract it, no one an innate immunity to it. detection Covid-19 is now critical task for medical practitioners. computed tomography (CT) scans be considered as best way diagnose Covid-19. For patients with severe symptoms, imaging might help assess seriousness disease. Also, CT scan helpful determining plan care patient. This work focuses on classifying cases healthy infected by presenting powerful scheme recognizing images. In this study will provided proposing model based applying deep feature extractions support vector machine (SVM). Big dataset images employed, it available repository GitHub Kaggle. Remarkable result 100% have benchmarked highest evaluation after investigations. proposed automatically detect between individuals.