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...

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Detalles Bibliográficos
Autores principales: Ding, Weiping, Abdel-Basset, Mohamed, Hawash, Hossam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Article
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

Internet

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

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