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Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio
The novel 2019 coronavirus disease (COVID-19) has infected over 141 million people worldwide since April 20, 2021. More than 200 countries around the world have been affected by the coronavirus pandemic. Screening for COVID-19, we use fast and inexpensive images from computed tomography (CT) scans....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205564/ https://www.ncbi.nlm.nih.gov/pubmed/34149118 http://dx.doi.org/10.1016/j.comcom.2021.06.011 |