Before revision:  In this paper , we evaluated and compared 40 different convolutional neural network architectures for COVID-19 diagnosis, serving as the first to consider the EfficientNet family for COVID-19 diagnosis . EfficientNet-B5 is identified as the best model with an accuracy of 0.9931 +/ -
After revision:  In this paper we designed, evaluated, and compared the performance of 20 convolutional neutral networks in classifying patients as COVID-19 diagnosis, serving as the first to consider the EfficientNet family for COVID-19 diagnosis . EfficientNet-B5 is identified as the best model with an accuracy of 0.9931 +/ -