An Analysis of Deep Learning Models to Diagnose COVID-19 Using Radiography Images

ABSTRACT

Coronavirus(COVID-19) has created havoc for humanity by causing millions of deaths, adverse effects on physical and mental health and disastrous economic destruction. To aid with fast and efficient detection of the virus which allows for timely treatment of the patients, we have conducted this research work. In this work we have experimented and analyzed all the pre-trained and well known models. The performance of these various models in the detection of COVID-19 from Chest X-Ray images and their comparative study is depicted in this work. The best performing models were InceptionV3 (99.78%), InceptionResNetV2 (99.56%), DenseNet121 (99.34%), DensetNet169 (99.24%), DenseNet201 (99.34%) and Xception (99.12%). © 2022 IEEE.