COVID-19 lesion detection and segmentation-A deep learning method.

Journal: Methods (San Diego, Calif.)
Published Date: Jul 5, 2021

Abstract

PURPOSE: In this paper, we utilized deep learning methods to screen the positive COVID-19 cases in chest CT. Our primary goal is to supply rapid and precise assistance for disease surveillance on the medical imaging aspect.

Authors

  • Liu Jingxin
    Department of Radiology, China-Japan Union Hospital, Jilin University, Changchun, China.
  • Zhang Mengchao
    Department of Radiology, China-Japan Union Hospital, Jilin University, Changchun, China.
  • Liu Yuchen
    School of Medical Information, Changchun University of Chinese Medicine, Changchun, China.
  • Cui Jinglei
    Medical Imaging Engineering Technology R&D Center of Jilin Province, Changchun, China.
  • Zhong Yutong
    Electronic Information Engineering College, Changchun University of Science and Technology, Changchun, China.
  • Zhang Zhong
    R&D Department, WX Medical Technology Co., Shenyang, China. Electronic address: zhangzh@wxmic.com.
  • Zu Lihui
    Department of Radiology, China-Japan Union Hospital, Jilin University, Changchun, China. Electronic address: zulihui@jlu.edu.cn.

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