COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network

It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread dramatically. Transcriptase polymerase chain reaction could be more useful, rapid, and trustworthy technique for evaluation classification disease. Currently, computerized method classifying computed tomography (CT) images chests crucial speeding up detection while epidemic rapidly spreading. In this article, authors have proposed an optimized convolutional neural network model (ADECO-CNN) divide infected not patients. Furthermore, ADECO-CNN approach compared with pretrained (CNN)-based VGG19, GoogleNet, ResNet models. Extensive analysis proved ADECO-CNN-optimized CNN classify CT 99.99% accuracy, 99.96% sensitivity, 99.92% precision, 99.97% specificity.