ABSTRACT
Corona virus (COVID-19) is an infectious disease. Several millions of people worldwide suffer from this disease. The signs of progress of virus infection are more severe damage to lungs and causes to organs failure, death. X-rays are readily available and an excellent alternative method to x-ray imaging in the diagnosis of covid-19 and very crucial role play to recognizing this disease and recovery with hospitalization. The goal of this revise is to expand a reliable method for detecting COVID-19 from digital chest X-ray pictures using well-before deep-learning algorithms while optimizing detection performance. To train and verify, the transfer learning (TL) approach was utilized with the aid of picture extension. Current would be hugely beneficial in this pandemic because the illness severity and the necessity for prevention methods are at odds with available resources. © 2022 IEEE.