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Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach
PURPOSE: To quantitatively evaluate lung burden changes in patients with coronavirus disease 2019 (COVID-19) by using serial CT scan by an automated deep learning method. MATERIALS AND METHODS: Patients with COVID-19, who underwent chest CT between January 1 and February 3, 2020, were retrospectivel...
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| Veröffentlicht in: | Radiol Cardiothorac Imaging |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Radiological Society of North America
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7233442/ https://ncbi.nlm.nih.gov/pubmed/33778562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryct.2020200075 |
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