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A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and infected more than 170 million individuals all over the world. Rapid identification of patients with COVID-19 is the key to control transmission and prevent depletion of hospitals. Several networks have been proposed to as...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425669/ https://www.ncbi.nlm.nih.gov/pubmed/34530335 http://dx.doi.org/10.1016/j.compbiomed.2021.104837 |