@Article{cmes.2022.018948,
AUTHOR = {Xiaowei Gu, Shuwen Chen, Huisheng Zhu, Mackenzie Brown},
TITLE = {COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {132},
YEAR = {2022},
NUMBER = {2},
PAGES = {507--530},
URL = {http://www.techscience.com/CMES/v132n2/48300},
ISSN = {1526-1506},
ABSTRACT = {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.},
DOI = {10.32604/cmes.2022.018948}
}