Article

SAUNet++: An automatic segmentation model of COVID-19 lesion from CT slices

2021-08-17

Abstract excerpt

The coronavirus disease 2019 (COVID-19) epidemic has spread worldwide and the healthcare system is in crisis. Accurate, automated and rapid segmentation of COVID-19 lesion in computed tomography (CT) images can help doctors diagnose and provide prognostic information. However, the variety of lesions and small regions of early lesion complicate their segmentation. To solve these problems, we propose a new SAUNet++...

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Literature Corpus work: 11a7c2d2-9857-5a92-9bb4-50fe16ddb0d7
DOI: 10.21203/rs.3.rs-812932/v1

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