MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images

Coronavirus disease (COVID-19) has infected over 603 million confirmed cases as of September 2022, and its rapid spread has raised concerns worldwide. More than 6.4 million fatalities in confirmed patients have been reported. According to reports, the COVID-19 virus causes lung damage and rapidly mu...

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Detalles Bibliográficos
Autores principales: Gopatoti, Anandbabu, Vijayalakshmi, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027978/
https://www.ncbi.nlm.nih.gov/pubmed/36968651
http://dx.doi.org/10.1016/j.bspc.2023.104857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027978/
https://www.ncbi.nlm.nih.gov/pubmed/36968651
http://dx.doi.org/10.1016/j.bspc.2023.104857

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