A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images.

ABSTRACT: The lethal novel coronavirus disease 2019 (COVID-19) pandemic is affecting the health of the global population severely, and a huge number of people may have to be screened in the future. There is a need for effective and reliable systems that perform automatic detection and mass screening of COVID-19 as a quick alternative diagnostic option to control its spread. A robust deep learning-based system is proposed to detect the COVID-19 using chest X-ray images. Infected patient's chest X-ray images reveal numerous opacities (denser, confluent, and more profuse) in comparison to healthy lungs images which are used by a deep learning algorithm to generate a model to facilitate an accurate diagnostics for multi-class classification (COVID vs. normal vs. bacterial pneumonia vs. viral pneumonia)

SUBMITTER: Joshi RC 

PROVIDER: S-EPMC7837255 | biostudies-literature | 2021 Jan-Mar

REPOSITORIES: biostudies-literature