Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images.

ABSTRACT: The number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic continues, with new variants constantly emerging. Therefore, to prevent the virus from spreading, coronavirus cases must be diagnosed as soon as possible. The COVID-19 pandemic has had a devastating impact on people's health and the economy worldwide. For COVID-19 detection, reverse transcription-polymerase chain reaction testing is the benchmark. However, this test takes a long time and necessitates a lot of laboratory resources. A new trend is emerging to address these limitations regarding the use of machine learning and deep learning techniques for automatic analysis, as these can attain high diagnosis results, especially by using medical imaging techniques. However, a key question arises whether a

SUBMITTER: Hayat A 

PROVIDER: S-EPMC9858730 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature