COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques

Table 1

Parameters and information required for the experiment.

Information	Value
Type of data set	X-ray images
Size of data set	720 (normal: 180; COVID-19: 540)
Size of training and testing data	Train: 80%; test: 20%
Models	VGG16, VGG19, ResNet50, InceptionV3
Learning rate	0.001
Optimizer	Adam
Activation functions	ReLU and softmax
Dropout	0.5
Metrics	Accuracy, precision, recall, sensitivity, specificity, F1-score
Graph	Loss and accuracy graph