Segmentation of infected region in CT images of COVID-19 patients based on QC-HC U-net
Abstract Since the outbreak of COVID-19 in 2019, the rapid spread of the epidemic has brought huge challenges to medical institutions. If the pathological region in the COVID-19 CT image can be automatically segmented, it will help doctors quickly determine the patient’s infection, thereby speeding...
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                  | Auteurs principaux: | , , | 
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| Format: | article | 
| Langue: | EN | 
| Publié: | Nature Portfolio    
    
      2021 | 
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f4a332f3fd3a4521a1d8c50c1117603d | 
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