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Semi-Supervised COVID-19 CT Segmentation Via Contrastive Learning Guided by CNN and Transformer

2023-03-23

Abstract excerpt

At the end of 2019, a novel coronavirus spread around the world. The automatic detection of infected lung areas from CT images of patients with COVID-19 is essential to help doctors make accurate diagnoses and analyzes. The method based on deep learning can quickly segment the target region and has become a popular way. However, the success of most current medical images segmentation methods depend on a large numb...

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Literature Corpus work
a9a4fe9b-1e46-5776-97fa-bddf8f72d900
DOI
10.2139/ssrn.4396473
Open publication

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Semi-Supervised COVID-19 CT Segmentation Via Contrastive Learning Guided by CNN and TransformerDOI 10.2139/ssrn.4396473
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