 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 +/ -
<fluency>  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 +/ -
 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 was identified as the best model with an accuracy of 0.9931 +/ -