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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...
Autores principales: | Dumakude, Aphelele, Ezugwu, Absalom E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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