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An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
In this paper, a novel approach called GSA-DenseNet121-COVID-19 based on a hybrid convolutional neural network (CNN) architecture is proposed using an optimization algorithm. The CNN architecture that was used is called DenseNet121, and the optimization algorithm that was used is called the gravitat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505822/ https://www.ncbi.nlm.nih.gov/pubmed/32982615 http://dx.doi.org/10.1016/j.asoc.2020.106742 |