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A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)
This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. 95 patients with confirmed COVID-19 and a total of 465 serial chest CT scans were involved, including...
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| izdano v: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7801482/ https://ncbi.nlm.nih.gov/pubmed/33432072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80261-w |
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