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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...
Tallennettuna:
| Julkaisussa: | Inf Sci (N Y) |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier Inc.
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294559/ https://ncbi.nlm.nih.gov/pubmed/34305162 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ins.2021.07.059 |
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