%0 Journal Article %A LIU Rui %A DING Hui %A SHANG Yuanyuan %A SHAO Zhuhong %A LIU Tie %T COVID-19 Medical Imaging Dataset and Research Progress %D 2021 %R 10.3778/j.issn.1002-8331.2106-0118 %J Computer Engineering and Applications %P 15-27 %V 57 %N 22 %X

As imaging technology has been playing an important role in the diagnosis and evaluation of the new coronavirus(COVID-19), COVID-19 related datasets have been successively published. But few review articles discuss COVID-19 image processing, especially in datasets. To this end, the new coronary pneumonia datasets and deep learning models are sorted and analyzed, through COVID-19-related journal papers, reports, and related open-source dataset websites, which include Computer Tomography(CT) image and X-rays(CXR)image datasets. At the same time, the characteristics of the medical images presented by these datasets are analyzed. This paper focuses on collating and describing open-source datasets related to COVID-19 medical imaging. In addition, some important segmentation and classification models that perform well on the related datasets are analyzed and compared. Finally, this paper discusses the future development trend on lung imaging technology.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2106-0118