Deep Cp-Cxr: A Deep Learning Model for Identification of Covid-19 and Pneumonia Disease Using Chest X-Ray Images

The coronavirus has disseminated universally, infecting enormous people and causing countless deaths. As many scientists tried their best to make vaccines against this virus, there was a ray of hope. This article intends to use the proposed deep learning model "Deep CP-CXR" to identify the patients of Covid-19 and pneumonia. This research proposes two experiments. In the first experiment, the chest X-ray images were used for binary classification results from normal and Covid-19 patients. While in the second experiment, multiple types of results were considered using chest X-ray images from pneumonia, Covid-19, and normal patients. The outcomes show that the average accuracy of the binary class (Covid-19, Normal) classification is 100%. Similarly, the average accuracy of multiple categories (Covid-19, pneumonia, normal) classification is 98.57%. Therefore, health professionals can use our model to validate the detection of Covid-19 and pneumonia patients with higher accuracy at an early stage.