Manual severity evaluation methods for novel coronavirus pneumonia based on computed tomography imaging

Qiang Chen, L. Luo
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Abstract

Computed tomography (CT) examination plays an indispensable role in the diagnosis of coronavirus disease-2019 (COVID-19). Many studies have evaluated the severity of COVID-19 based on CT images, with the severity of COVID-19 being evaluated either manually or by using artificial intelligence. In this review, the recently reported methods for manually evaluating COVID-19 severity based on CT images are summarized and divided into three categories: evaluation based on the extent of abnormalities; evaluation based on the characteristics of abnormalities; and evaluation based on both the extent and characteristics of abnormalities.
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基于计算机断层成像的新型冠状病毒肺炎严重程度人工评估方法
计算机断层扫描(CT)检查在冠状病毒病-2019 (COVID-19)的诊断中发挥着不可或缺的作用。许多研究基于CT图像评估COVID-19的严重程度,并通过人工或人工智能来评估COVID-19的严重程度。本文综述了近年来报道的基于CT图像人工评估COVID-19严重程度的方法,并将其分为三类:基于异常程度的评估;基于异常特征的评价;以及基于异常程度和特征的评估。
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