Covid and pneumonia detection through chest X-ray using deep learning

Covid19 and Pneumonia is a life-threatening disease that affects lungs in a person causing infection and is often caused by a bacteria known as Streptococcus pneumoniae. According to the World Health Organization (WHO), every one in ten people die in India is due to pneumonia. For COVID-19 detectionand deep learning model have been developed that can accurately detect pneumonia and COVID-19 caseswith the help of frontal chest X-rays. These models use similar architectures to pneumonia detection models, but are trained specifically on COVID-19 cases. One example of such a model is COVID-Net, which was developed specifically for the COVID-19 detection from using chest X-rays. Therefore, establishing an autonomous pneumonia detection system will provide benefit for the purpose of treating the disease with efficiency, especially for rural area. Deep Neural Network had received too much attentionfor the purpose of disease classification. The success of this approach is due to deep learning, in the field of dangerous disease prediction. Moreover, features learned by deep learning model pretrained on vast dataset is of great value in for image segregation tasks. In the study, our evaluation of performance with a pretrained deep learning model used a features extractor, follow with differently classified with classifying pneumonia, normal and covid chest radiographs. increase. there are several deep learning models that had been developed for the pneumonia detection, and most optimal model may depend on various factors. CheXNet, DenseNet, and COVID-Net are some examples of deep learning models that have shown promising results for pneumonia and COVID-19 detection from medical images