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: Qin Zhang, Xiaoqiang Ren, Benzheng Wei
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/f4a332f3fd3a4521a1d8c50c1117603d
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