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Automated COVID-19 detection with convolutional neural networks

This paper focuses on addressing the urgent need for efficient and accurate automated screening tools for COVID-19 detection. Inspired by existing research efforts, we propose two framework models to tackle this challenge. The first model combines a conventional CNN architecture as a feature extract...

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Detalles Bibliográficos
Autores principales: Dumakude, Aphelele, Ezugwu, Absalom E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313722/
https://www.ncbi.nlm.nih.gov/pubmed/37391527
http://dx.doi.org/10.1038/s41598-023-37743-4