Determine COVID Using Chest Scan from X-ray

Abstract

The number of covid-19 patients is increasing continuously and we are facing testing issue.

having less number of gear, it is not possible for health systems to test every patient using standard techniques . Standard testing have long result time.finding possibilities of infections in x-ray of chest can help differentiate patients , the x-ray machines are easily accessible and available in different health care facilities , and many modern x-ray program are already installed on the computer, where no longer time is involved in getting output . In this system we suggest the use of chest x-ray to select the patient to do rt-pcr. It can be helpful in patient admissions existing system have trouble deciding if we need to keep the infected patient in treatment area with other people or keep them in isolation .

System proposed can also identify people with high level of infection having false report on rt-pcr that require testing repeatedly. In addition, we will recommend the use of AI methods to detect covid patients who use x-ray images in natural way, especially where radiologists are not available, and assist in testing. Introducing covid-Aid,covid AI Detector, a model on neural network for diagnosing patients. our model provides accuracy with sensitivity (remember) of infection covid-19. Significantly helps developing positivity for report of Covinet on same database.