Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method.

Journal: BMC bioinformatics
Published Date: Nov 8, 2021

Abstract

BACKGROUND: To classify chest computed tomography (CT) images as positive or negative for coronavirus disease 2019 (COVID-19) quickly and accurately, researchers attempted to develop effective models by using medical images.

Authors

  • Yao-Mei Chen
    School of Nursing, Kaohsiung Medical University, Kaohsiung.
  • Yenming J Chen
    Department of Information Management, 517768National Kaohsiung University of Science and Technology, Kaohsiung 824, Taiwan.
  • Wen-Hsien Ho
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.
  • Jinn-Tsong Tsai
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.

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