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Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
PROBLEM: Detecting COVID-19 from chest X-ray (CXR) images has become one of the fastest and easiest methods for detecting COVID-19. However, the existing methods usually use supervised transfer learning from natural images as a pretraining process. These methods do not consider the unique features o...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063457/ https://www.ncbi.nlm.nih.gov/pubmed/37019015 http://dx.doi.org/10.1016/j.compbiomed.2023.106877 |