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IEEE journal of biomedical and health informatics. 2020 Dec;24(12):3585-3594. doi: 10.1109/JBHI.2020.3036722 Q16.82025

Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics

基于深度学习和影像组学的重症和危重症新冠肺炎分类诊断研究 翻译改进

Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian

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DOI: 10.1109/JBHI.2020.3036722 PMID: 33166256

摘要 Ai翻译

Objective: The coronavirus disease 2019 (COVID-19) is rapidly spreading inside China and internationally. We aimed to construct a model integrating information from radiomics and deep learning (DL) features to discriminate critical cases from severe cases of COVID-19 using computed tomography (CT) images. Methods: We retrospectively enrolled... ...点击完成人机验证后继续浏览
Copyright © IEEE journal of biomedical and health informatics. 中文内容为AI机器翻译,仅供参考!

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期刊名:Ieee journal of biomedical and health informatics

缩写:IEEE J BIOMED HEALTH

ISSN:2168-2194

e-ISSN:2168-2208

IF/分区:6.8/Q1

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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics