COVID-19 Identification on Chest X-rays with Deep Learning Technique

The COVID-19 infection has firmly affected all nations globally. COVID-19 disease is a lung infection by the novel CORONA virus. The present study aims to develop a binary classification deep neural network that identifies the COVID-19 disease on chest X-ray scans. The proposed model divides the chest X-rays is two classes; one is a normal chest X-ray or the other is covid infected. The model has utilized the benefit of the transfer learning method and implemented the ResNet-50 pre-trained model as the backbone model. 1200 chest X-rays have been used to conduct this study while the achieved accuracy is 97.92%. The proposed model also manifests the effect of deep learning techniques in the medical imaging domain.