,CT,COVID-19

Mouna Afif1, Riadh Ayachi1, Yahia Said2

  • 1Laboratory of Electronics and Microelectronics (EμE), Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia.

Multimedia tools and applications
|June 26, 2023
PubMed
概括

一个新的深度学习系统在CT扫描中准确地细分COVID-19相关的肺部不透明度. 这种先进的工具有助于诊断COVID-19和肺炎,达到96.23%以上的准确性.