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Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation
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 C...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904133/ https://www.ncbi.nlm.nih.gov/pubmed/34375293 http://dx.doi.org/10.1109/JBHI.2021.3103646 |