Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation

27 Apr 2020Jun MaYixin WangXingle AnCheng GeZiqi YuJianan ChenQiongjie ZhuGuoqiang DongJian HeZhiqiang HeZiwei NieXiaoping Yang

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 coronavirus disease... (read more)

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