Abstract
The sensitivity of the RT-PCR test is limited, and the method itself is laborious and time-consuming to carry out. When it comes to making a diagnosis of COVID-19, chest CT scans have the potential to be of assistance. If, on the other hand, the infection does not spread to the lungs, then an abnormality check with a CT scan will not be necessary. Complementary assays have the potential to considerably reduce the frequency of false-positive results when they are used in combining with RT-PCR or CT scans. We propose in this study a decision support system that is based on deep learning and has the capability to evaluate the practically commonly required laboratory parameters for the purpose of identifying COVID-19. Here dataset contains the 1428 radiographs (224 COVID-19, 504 Healthy, 700 Pneumonia) are considered for experimentation.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
