[Retracted] Advanced Cognitive Algorithm for Biomedical Data Processing: COVID-19 Pattern Recognition as a Case Study

Algorithm 2

The AlexNet and GoogLeNet models.

	Input ⟵ CT and X-ray images, learning rate (U), Epoch (E)
	Output ⟵ Trained model that classify COVID-19 images
(1)	Begin
(2)	Preprocessing:
(3)	//x ∈ X, Ǝi ∈ X: i resize of x
(4)	For each input image
(5)	Resize images to 227 × 227 for AlexNet and 224 × 224 for GoogLeNet
(6)	Normalize images
(7)	Remove noise
(8)	End
(9)	DTL models M = (AlexNet, GoogLeNet)
(10)	Let G be a pretrained network (GoogLeNet) ∈ M
(11)	Let A be a pretrained network (AlexNet) ∈ M
(12)	Let S be a set of measures: M = (Accuracy, Sensitivity, Specificity, Loss, precision, F1 score)
(13)	G & A ∈ CNN, Ǝs|S(s) = s(CNN(x)).
(14)	For each M do
(15)	U = 0.001
(16)	For E = 1 to 4 do
(17)	Update the weights
(18)	End
(19)	End
(20)	End