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Deep learning for automatic quantification of lung abnormalities in COVID-19 patients: First experience and correlation with clinical parameters
RATIONALE AND OBJECTIVES: To demonstrate the first experience of a deep learning-based algorithm for automatic quantification of lung parenchymal abnormalities in chest CT of COVID-19 patients and to correlate quantitative results with clinical and laboratory parameters. MATERIALS AND METHODS: We re...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538094/ https://www.ncbi.nlm.nih.gov/pubmed/33043101 http://dx.doi.org/10.1016/j.ejro.2020.100272 |