It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread dramatically Transcriptase Polymerase Chain Reaction (RT-PCR) could be a more useful, rapid, and trustworthy technique for the evaluation and classification of COVID-19 disease Currently, an computerized method for classifying Computed Tomography images of chests can be crucial for speeding up the detection, while the COVID-19 epidemic is rapidly spreading The authors have proposed ADECO-CNN (an optimized Convolutional Neural Network model) to divide infected and not infected patients Furthermore, the ADECO-CNN approach is compared with pre-trained CNN based VGG19, GoogleNet and ResNet models Extensive analysis proved that the ADECO-CNN optimized CNN model can classify computed tomography images with 99 99% accuracy, 99 96% sensitivity, 99 92% precision and 99 97% specificity IEEE
COVID-19: Automatic Detection of the Novel Coronavirus Disease from CT Images Using an Optimized Convolutional Neural Network