COVID-19 Detection from Chest X-Rays Using Deep Learning Techniques

The CoronaVirus Disease (COVID-19) is a global pandemic, according to theWorld Health Organization (WHO), which was declared in March 2020. Medical image analysis is a well-known method that could be useful in detecting COVID-19. This is because the cardiovascular system is the organ in the body that is most affected by the virus, so the chest X-rays may be a more suitable technique than thermal screening. Deep learning (DL) algorithms can play a crucial role in diagnosing COVID-19 patients’ Chest X-Ray (CXR) pictures when properly studying them. The first stage involved in covid detection is pre-processing where cropping and resizing of image for fast processing. The next stage is feature extraction and classification by using deep convolution network. Various methods involved in these stages are studied and model was build using Pre-trained models.