Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation

Caizi Li,Li Dong,Qi Dou,Fan Lin, Kebao Zhang,Zuxin Feng,Weixin Si,Xuesong Deng,Zhe Deng,Pheng Ann Heng

IEEE Journal of Biomedical and Health Informatics（2021）

引用 33|浏览11

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摘要

The coronavirus disease 2019 (COVID-19) has become a severe worldwide health emergency and is spreading at a rapid rate. Segmentation of COVID lesions from computed tomography (CT) scans is of great importance for supervising disease progression and further clinical treatment. As labeling COVID-19 CT scans is labor-intensive and time-consuming, it is essential to develop a segmentation method base...

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关键词

COVID-19,Computed tomography,Lesions,Image segmentation,Data models,Predictive models,Training

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