Automated detection of COVID-19 through convolutional neural network using chest x-ray images

The COVID-19 epidemic has a catastrophic impact on global well-being and public health. More than 27 million confirmed cases have been reported worldwide until now. Due to the growing number of confirmed cases, and challenges to the variations of the COVID-19, timely and accurate classification of h...

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Detalles Bibliográficos
Autores principales: Sarki, Rubina, Ahmed, Khandakar, Wang, Hua, Zhang, Yanchun, Wang, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782355/
https://www.ncbi.nlm.nih.gov/pubmed/35061767
http://dx.doi.org/10.1371/journal.pone.0262052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782355/
https://www.ncbi.nlm.nih.gov/pubmed/35061767
http://dx.doi.org/10.1371/journal.pone.0262052

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