Covid-19 Detection using Deep Learning

ABSTRACT

The fast and precise screening of suspected instances is limited due to a lack of resources and tight test environment requirements. In rare circumstances of RT-PCR inspection, erroneous negative results are also encountered. Detection of COVID-19 now requires at least one day to produce a result. Using an X-ray image, this method will provide quick and accurate findings. In this project using CNN algorithm the system recognises COVID-19. Two different publicly available datasets were used in this project. DL-based models provide a precise and well organised system for detecting it, resulting in a considerable increase of accuracy in image processing. This model has ac © 2022 IEEE.