Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

Ma, Jun; Wang, Yixin; An, Xingle; Ge, Cheng; Yu, Ziqi; Chen, Jianan; Zhu, Qiongjie; Dong, Guoqiang; He, Jian; He, Zhiqiang; Cao, Tianjia; Zhu, Yuntao; Nie, Ziwei; Yang, Xiaoping

doi:10.1002/mp.14676

Public

Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation

Published in Medical Physics • Dec 24, 2020

Authors:

Jun Ma

Yixin Wang

Xingle An

Abstract

PURPOSE: Accurate segmentation of lung and infection in COVID-19 computed tomography (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,...

Subject

Benchmark (surveying)

Segmentation

Artificial intelligence

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