preprintarXiv (Cornell University)Mar 30, 2020GREEN OA

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

YXYang, XingyiXHXuehai HeJZJinyu ZhaoYZYichen ZhangZSZhang, Shanghang

University of California San Diego

Indexed inarxivdatacite

Abstract

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research and development of AI-powered diagnosis methods of COVID-19 based on CTs. To address this issue, we build an open-sourced dataset -- COVID-CT, which contains 349 COVID-19 CT images from 216 patients and 463 non-COVID-19 CTs. The utility of this dataset is confirmed by a senior radiologist who has been diagnosing and treating COVID-19 patients since the outbreak of this pandemic. We also perform experimental studies which further demonstrate that this dataset is useful for…

Citation impact

728
total citations
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References
21
Citations per year

Authors

6

Topics & keywords

Keywords
  • Coronavirus disease 2019 (COVID-19)
  • Computed tomography
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
  • 2019-20 coronavirus outbreak
  • Artificial intelligence
  • Computer science
  • Pandemic
  • Outbreak
UN Sustainable Development Goals
  • Good health and well-being
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