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NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis
During pandemics (e.g., COVID-19) physicians have to focus on diagnosing and treating patients, which often results in that only a limited amount of labeled CT images is available. Although recent semi-supervised learning algorithms may alleviate the problem of annotation scarcity, limited real-worl...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153959/ https://www.ncbi.nlm.nih.gov/pubmed/34127245 http://dx.doi.org/10.1016/j.artmed.2021.102082 |