Automated detection of lung infections from computed tomography ( CT ) images offers a great potential
However , segmenting infected regions from CT scans faces several challenges ,
Automated detection of lung infections from computed tomography ( CT ) images offers a great potential to augment the traditional healthcare strategy for tackling COVID-19 .
However , segmenting infected regions from CT scans faces several challenges , including high variation in infection characteristics , and low intensity contrast between infections and normal tissues .