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The role of CT in case ascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions.

作者信息

Chua Felix, Armstrong-James Darius, Desai Sujal R, Barnett Joseph, Kouranos Vasileios, Kon Onn Min, José Ricardo, Vancheeswaran Rama, Loebinger Michael R, Wong Joyce, Cutino-Moguel Maria Teresa, Morgan Cliff, Ledot Stephane, Lams Boris, Yip Wing Ho, Li Leski, Lee Ying Cheong, Draper Adrian, Kho Sze Shyang, Renzoni Elisabetta, Ward Katie, Periselneris Jimstan, Grubnic Sisa, Lipman Marc, Wells Athol U, Devaraj Anand

机构信息

Interstitial Lung Disease Unit, Department of Respiratory Medicine, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London SW3 6NP, UK.

Department of Infectious Disease and Medical Mycology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London SW3 6NP, UK.

出版信息

Lancet Respir Med. 2020 May;8(5):438-440. doi: 10.1016/S2213-2600(20)30132-6. Epub 2020 Mar 25.

DOI:10.1016/S2213-2600(20)30132-6
PMID:32220663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7104153/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1023/7104153/61b4daa5734e/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1023/7104153/61b4daa5734e/fx1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1023/7104153/61b4daa5734e/fx1_lrg.jpg

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本文引用的文献

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The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) - China, 2020.2019新型冠状病毒病(COVID-19)疫情的流行病学特征 - 中国,2020年
China CDC Wkly. 2020 Feb 21;2(8):113-122.
2
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.放射科医生在胸部 CT 鉴别 COVID-19 与非 COVID-19 病毒性肺炎中的表现。
Radiology. 2020 Aug;296(2):E46-E54. doi: 10.1148/radiol.2020200823. Epub 2020 Mar 10.
3
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study.
EffViT-COVID:一种用于估计新型冠状病毒肺炎感染率的双路径网络。
Expert Syst Appl. 2023 Mar 1;213:118939. doi: 10.1016/j.eswa.2022.118939. Epub 2022 Oct 3.
4
TL-med: A Two-stage transfer learning recognition model for medical images of COVID-19.TL-med:一种用于新冠病毒肺炎医学图像的两阶段迁移学习识别模型。
Biocybern Biomed Eng. 2022 Jul-Sep;42(3):842-855. doi: 10.1016/j.bbe.2022.04.005. Epub 2022 Apr 29.
5
Insight into prognostics, diagnostics, and management strategies for SARS CoV-2.对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的预后、诊断和管理策略的洞察。
RSC Adv. 2022 Mar 11;12(13):8059-8094. doi: 10.1039/d1ra07988c. eCollection 2022 Mar 8.
6
Artificial Intelligence for COVID-19 Detection in Medical Imaging-Diagnostic Measures and Wasting-A Systematic Umbrella Review.医学影像中用于新冠病毒检测的人工智能——诊断措施与浪费现象——一项系统性综合综述
J Clin Med. 2022 Apr 6;11(7):2054. doi: 10.3390/jcm11072054.
7
Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence.使用人工智能从胸部X光片中检测新型冠状病毒
IEEE Access. 2021 Feb 23;9:35501-35513. doi: 10.1109/ACCESS.2021.3061621. eCollection 2021.
8
Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images.用于CT图像中COVID-19分类的新型特征选择和投票分类器算法
IEEE Access. 2020 Sep 30;8:179317-179335. doi: 10.1109/ACCESS.2020.3028012. eCollection 2020.
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