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....

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Detalles Bibliográficos
Autores principales: Fouladi, Saman, Ebadi, M.J., Safaei, Ali A., Bajuri, Mohd Yazid, Ahmadian, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
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

Internet

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

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