  The novel coronavirus disease (COVID-19) constitutes a public health
emergency globally. It is a deadly disease which has infected more than 230
million people worldwide. Therefore, early and unswerving detection of COVID-19
is necessary. Evidence of this virus is most commonly being tested by RT-PCR
test. This test is not 100% reliable as it is known to give false positives and
false negatives. Other methods like X-Ray images or CT scans show the detailed
imaging of lungs and have been proven more reliable. This paper compares
different deep learning models used to detect COVID-19 through transfer
learning technique on CT scan dataset. VGG-16 outperforms all the other models
achieving an accuracy of 85.33% on the dataset.
