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RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions
The segmentation of COVID-19 lesions from computed tomography (CT) scans is crucial to develop an efficient automated diagnosis system. Deep learning (DL) has shown success in different segmentation tasks. However, an efficient DL approach requires a large amount of accurately annotated data, which...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294559/ https://www.ncbi.nlm.nih.gov/pubmed/34305162 http://dx.doi.org/10.1016/j.ins.2021.07.059 |