COVID-19 infection prediction from CT scan images of lungs using Iterative Convolution Neural Network model

•In this paper, chest CT scan images of COVID and Non-COVID categories are considered to train the supervised classifier, Iterative Convolution Neural Network.•The training process is done with six different training data size. The trained models are iterated for the fixed size of testing data (20 images).•The same set of training and testing processes are done with two different Iterative Convolutional Neural Network architectures, one with two hidden layers (CNN1) and another with three hidden layers (CNN2).