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Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities

In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learning models usually need large labelled datasets to be effective. Semi-supervised deep learning is an attractive alternat...

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Detalles Bibliográficos
Autores principales: Calderon-Ramirez, Saul, Yang, Shengxiang, Elizondo, David, Moemeni, Armaghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085448/
https://www.ncbi.nlm.nih.gov/pubmed/35573166
http://dx.doi.org/10.1016/j.asoc.2022.108983

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