Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
Purpose: Accurate segmentation of lung and infection in COVID-19 CT scans plays an important role in the quantitative management of patients. Most of the existing studies are based on large and private annotated datasets that are impractical to obtain from a single institution, especially when radiologists are busy fighting the …