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OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
The quick spread of coronavirus disease (COVID-19) has become a global concern and affected more than 15 million confirmed patients as of July 2020. To combat this spread, clinical imaging, for example, X-ray images, can be utilized for diagnosis. Automatic identification software tools are essentia...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502308/ https://www.ncbi.nlm.nih.gov/pubmed/34764551 http://dx.doi.org/10.1007/s10489-020-01904-z |