Corona Virus Detection and Classification with Radiograph images using RNN

Mohammed, M.; Krishna Raghavendra, A. V.; Lahari, G. K.

We are working on detecting the symptoms of Corona virus also known as Covid-19 in this project. From diagnosis to treatment, COVID-19 has posed a significant threat to journalists, researchers, physicians, and organizations all over the world. Analysts are working nonstop to gain proper knowledge in order to monitor the pandemic in their respective areas. As a result, it is critical to incorporate an intelligent system as an alternative option for preventing COVID-19-related effects or death in society. The determination of the level of risk, with the aid of various Artificial Intelligence methodologies, may be one of the answers to controlling the damage. A number of machine learning models have been developed to diagnose and evaluate the seriousness of a variety of cases. Clinical evidence from patients who have been infected with a virus has been used in the proposed study to predict the seriousness of the disease if the patient has been infected. The signs of the disease (corona virus) as well as other parameters specific to the person's health have been taken into consideration. COVID-19 is a highly infectious disease that has been declared a Public Health Emergency and a Pandemic by the World Health Organization. The virus has infected over 25 million people worldwide which has killed over 840, 000 people and threatened the lives of millions more. COVID-19 is characterized by a dry cough, sore throat, and ahigh temperature. It is critical to find quick and accurate results for Covid-19 at this time in order to stop it in its early stages and avoid it from being a problem. Deep learning concepts are being used to analyze and classify symptoms from radiograph images. Chest radiographs are one of the early screening tests to assess the onset of disease since the infection seriously affects the lungs. In this proposal, we used a recurrent neural network model combined with a multilevel thresholding technique to detect Corona virus. One of the machine learning techniques for prediction is the RNN model. A Recurrent Neural Network is used to decide if the given images belong to Covid-19 during the classification process. This implementation is based on a publicly available dataset of radiograph images. © 2021 IEEE.