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A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect COVID-19. This study proposed a novel deep learning model that can diagnose COVID-19 on chest CT more accurately and swiftly....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609373/ https://www.ncbi.nlm.nih.gov/pubmed/33169050 http://dx.doi.org/10.1007/s00138-020-01128-8 |