This study proposes a novel deep learning structure that the pooling layer of this model is a combination of pooling and the Squeeze Excitation Block (SE-block) layer. 
the pooling layer
This study proposes a novel deep learning structure that the pooling layer of this model is a combination of pooling and the Squeeze Excitation Block (SE-block) layer. 
SE-block
The proposed model uses Batch Normalization and Mish Function to optimize convergence time and performance of COVID-19 diagnosis. 
Batch Normalization
The proposed model uses Batch Normalization and Mish Function to optimize convergence time and performance of COVID-19 diagnosis. 
Mish Function