Publication

Abstract : After emerging in Wuhan, China, in December 2019, the coronavirus 2019 (COVID-2019) quickly spread throughout the world and sparked a pandemic. Covid-19 The pandemic affected human health globally. In a few cases of Covid19 humans faced death situations also. The Respiratory system of the human body gets affected by Covid-19 and the severity of Covid-19 leads to death so there is urgent need of fast and efficient automatic diagnosis system of Covid-19 to help medical experts to diagnose this disease quickly and efficiently. This paper’s main objective is to provide a Binary Classification of Covid-19 disease using a dataset obtained from computed tomography. Four Deep Learning existing models ResNet50, Inception V3, DenseNet121 and Efficient Net B0 are employed here. Compared to ResNet50, InceptionV3, and Efficient Net B0, DenseNet121 performs better. DenseNet121 model showed 96.83% as training accuracy and 92% as validation accuracy.