A Deep Learning Approach for Fast Detection of COVID-19 using Lung X-ray Scans

In the pandemic situations, when multiple strains of coronavirus are still a concern, RT-PCR is a lengthy manual testing technique that can take anywhere from a few hours to two days to complete. The system aims to develop a model that is based on radiology. For the purpose of detection, the coronavirus is detected using X-ray imaging. This proposed methodology is to identify patients whose x-rays are taken. Check to see if they are infected with COVID-19. The data collection includes pneumonia X-rays, normal and Covid-19 X-rays patients. This research includes the implementation of VGG19, Inception V3, and ResNet-50. Convolution Neural Network (CNN) models play a critical role in image classification. Different metrics are used to evaluate the model.