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AI detection of mild COVID-19 pneumonia from chest CT scans
OBJECTIVES: An artificial intelligence model was adopted to identify mild COVID-19 pneumonia from computed tomography (CT) volumes, and its diagnostic performance was then evaluated. METHODS: In this retrospective multicenter study, an atrous convolution-based deep learning model was established for...
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| Publicado no: | Eur Radiol |
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| Main Authors: | , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7971359/ https://ncbi.nlm.nih.gov/pubmed/33738595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-021-07797-x |
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