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Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images

The current COVID-19 pandemic, that has caused more than 100 million cases as well as more than two million deaths worldwide, demands the development of fast and accurate diagnostic methods despite the lack of available samples. This disease mainly affects the respiratory system of the patients and...

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Detalles Bibliográficos
Autores principales: Morís, Daniel Iglesias, de Moura Ramos, José Joaquim, Buján, Jorge Novo, Hortas, Marcos Ortega
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325379/
https://www.ncbi.nlm.nih.gov/pubmed/34366577
http://dx.doi.org/10.1016/j.eswa.2021.115681

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