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A Comparison of Deep Learning Models for Detecting COVID-19 in Chest X-ray Images
COVID-19 has spread around the world rapidly causing a pandemic. In this research, a set of Deep Learning architectures, for diagnosing the presence or not of the disease have been designed and compared; such as, a CNN with 4 incremental convolutional blocks; a VGG-19 architecture; an Inception netw...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562105/ http://dx.doi.org/10.1016/j.ifacol.2021.10.282 |