Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review.

ABSTRACT: Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth century. Covid-19 has already endangered the lives of millions of people worldwide due to its acute pulmonary effects. Image-based diagnostic techniques like X-ray, CT, and ultrasound are commonly employed to get a quick and reliable clinical condition. Covid-19 identification out of such clinical scans is exceedingly time-consuming, labor-intensive, and susceptible to silly intervention. As a result, radiography imaging approaches using Deep Learning (DL) are consistently employed to achieve great results. Various artificial intelligence-based systems have been developed for the early prediction of coronavirus using radiography pictures. Specific DL methods such as CNN and RNN noticeably extract extre

SUBMITTER: Bhosale YH 

PROVIDER: S-EPMC9483290 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature