{"title":"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","authors":"Qiang Chen, L. Luo","doi":"10.4103/rid.rid_20_22","DOIUrl":null,"url":null,"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.","PeriodicalId":101055,"journal":{"name":"Radiology of Infectious Diseases","volume":"61 1","pages":"158 - 167"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Manual severity evaluation methods for novel coronavirus pneumonia based on computed tomography imaging\",\"authors\":\"Qiang Chen, L. Luo\",\"doi\":\"10.4103/rid.rid_20_22\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":101055,\"journal\":{\"name\":\"Radiology of Infectious Diseases\",\"volume\":\"61 1\",\"pages\":\"158 - 167\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiology of Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/rid.rid_20_22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology of Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/rid.rid_20_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Manual severity evaluation methods for novel coronavirus pneumonia based on computed tomography imaging
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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