Improved Method of X-Ray Image Classification Using Deep Learning for Covid-19 Detection

ABSTRACT

COVID-2019, which popped up in December 2019 in Wuhan, China. It quickly spread around the world and turned into a pandemic.It has wreaked havoc on people's daily lives and public health. It has wreaked havoc on people's everyday lives, health, and the economic growth. Positive cases should be found as early as possible in order to control the disease outbreak and treat those who have been infected as fast as possible. Because there are no precise toolkits available, the demand for additional diagnostic tools has increased significantly. Current findings from radiology imaging techniques suggest that such images can reveal a lot about the COVID virus. The use of modern AI technologies (Artificial intelligence) algorithms in conjunction with imaging techniques can help to identify this disease accurately. This paper presents a new model for automatically detecting COVID-19 from X-ray pictures. The suggested model was created to deliver precise diagnostics for three classes of categorization. © 2022 IEEE.