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COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things

Xiaowei Gu1,#, Shuwen Chen1,2,#,*, Huisheng Zhu1, Mackenzie Brown3,*

1 School of Math and Information Technology, Jiangsu Second Normal University, Nanjing, 211200, China
2 State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, 210096, China
3 School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia

* Corresponding Authors: Shuwen Chen. Email: email; Mackenzie Brown. Email: email
# These authors contributed equally to this work. Xiaowei Gu and Shuwen Chen are regarded as co-first authors

(This article belongs to this Special Issue: Computer-Assisted Imaging Processing and Machine Learning Applications on Diagnosis of Chest Radiograph)

Computer Modeling in Engineering & Sciences 2022, 132(2), 507-530.


Coronavirus disease 2019 brings a huge burden on the medical industry all over the world. In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies, chest computed tomography (CT) and chest X-ray (CXR) scans are becoming more intelligent, and playing an increasingly vital role in the diagnosis and treatment of diseases. This paper will introduce the segmentation of methods and applications. CXR and CT diagnosis of COVID-19 based on deep learning, which can be widely used to fight against COVID-19.


Cite This Article

Gu, X., Chen, S., Zhu, H., Brown, M. (2022). COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things. CMES-Computer Modeling in Engineering & Sciences, 132(2), 507–530.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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