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利用医学图像的深度学习检测新型冠状病毒肺炎

Deep Learning for Detecting COVID-19 Using Medical Images.

作者信息

Liu Jia, Qi Jing, Chen Wei, Wu Yi, Nian Yongjian

机构信息

Department of Digital Medicine, School of Biomedical Engineering and Imaging Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China.

Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China.

出版信息

Bioengineering (Basel). 2022 Dec 22;10(1):19. doi: 10.3390/bioengineering10010019.

Abstract

The global spread of COVID-19 (also known as SARS-CoV-2) is a major international public health crisis [...].

摘要

新型冠状病毒肺炎(又称严重急性呼吸综合征冠状病毒2)在全球的传播是一场重大的国际公共卫生危机[……]

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Deep Learning for Detecting COVID-19 Using Medical Images.利用医学图像的深度学习检测新型冠状病毒肺炎
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本文引用的文献

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A Deep Ensemble Dynamic Learning Network for Corona Virus Disease 2019 Diagnosis.用于 2019 年冠状病毒病诊断的深度集成动态学习网络。
IEEE Trans Neural Netw Learn Syst. 2024 Mar;35(3):3912-3926. doi: 10.1109/TNNLS.2022.3201198. Epub 2024 Feb 29.
3
A review of deep learning-based detection methods for COVID-19.基于深度学习的新型冠状病毒肺炎检测方法综述
Comput Biol Med. 2022 Apr;143:105233. doi: 10.1016/j.compbiomed.2022.105233. Epub 2022 Jan 29.
6
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.AANet:用于从胸部 X 光图像中检测 COVID-19 的自适应注意网络。
IEEE Trans Neural Netw Learn Syst. 2021 Nov;32(11):4781-4792. doi: 10.1109/TNNLS.2021.3114747. Epub 2021 Oct 27.

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