Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images

A key factor in the fight against viral diseases such as the coronavirus (COVID-19) is the identification of virus carriers as early and quickly as possible, in a cheap and efficient manner. The application of deep learning for image classification of chest X-ray images of COVID-19 patients could be...

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Detalles Bibliográficos
Autores principales: Calderon-Ramirez, Saul, Yang, Shengxiang, Moemeni, Armaghan, Elizondo, David, Colreavy-Donnelly, Simon, Chavarría-Estrada, Luis Fernando, Molina-Cabello, Miguel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276579/
https://www.ncbi.nlm.nih.gov/pubmed/34276263
http://dx.doi.org/10.1016/j.asoc.2021.107692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276579/
https://www.ncbi.nlm.nih.gov/pubmed/34276263
http://dx.doi.org/10.1016/j.asoc.2021.107692

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