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...

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Detalles Bibliográficos
Autores principales: Li, Guang, Togo, Ren, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
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

Internet

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

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