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  • 教授 博士生导师 硕士生导师
  • 入职时间:1985-07-01
  • 所在单位:数学与统计学院
  • 职务:Professor
  • 学历:博士研究生毕业
  • 办公地点:中南大学,新校区,数理楼,南楼453
  • 性别:
  • 联系方式:houmuzhou@sina.com; hmzw@csu.edu.cn Email: hmzw@csu.edu.cn
  • 学位:博士学位
  • 在职信息:在职
  • 毕业院校:中南大学
  • 学科:数学
论文成果
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Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
  • 点击次数:
  • 所属单位:中南大学
  • 发表刊物:Pattern Recognition,2020
  • 摘要:The COVID-19 outbreak continues to threaten the health and life of people worldwide. It is an immediate priority to develop and test a computer-aided detection (CAD) scheme based on deep learning (DL) to automatically localize and differentiate COVID-19 from community-acquired pneumonia (CAP) on chest X-rays. Therefore, this study aims to develop and test an efficient and accurate deep learning scheme that assists radiologists in automatically recognizing and localizing COVID-19. A retrospective chest X-ray image dataset was collected from open image data and the Xiangya Hospital, which was divided into a training group and a testing group. The proposed CAD framework is composed of two steps with DLs: the Discrimination-DL and the Localization-DL. The first DL was developed to extract lung features from chest X-ray radiographs for COVID-19 discrimination and trained using 3548 chest X-ray radiographs. The second DL was trained with 406-pixel patches and applied to the recognized X-ray radiographs to localize and assign them into the left lung, right lung or bipulmonary. X-ray radiographs of CAP and healthy controls were enrolled to evaluate the robustness of the model. Compared to the radiologists’ discrimination and localization results, the accuracy of COVID-19 discrimination using the Discrimination-DL yielded 98.71%, while the accuracy of localization using the Localization-DL was 93.03%. This work represents the feasibility of using a novel deep learning-based CAD scheme to efficiently and accurately distinguish COVID-19 from CAP and detect localization with high accuracy and agreement with radiologists.
  • 合写作者:Xiaowei Liu, Jie Zhang, Yong Li, Ying Xiao
  • 第一作者:Zheng Wang
  • 论文类型:期刊论文
  • 通讯作者:Muzhou Hou
  • 文献类型:J
  • 页面范围:1-9
  • 是否译文:
  • 发表时间:2020-08-30
  • 收录刊物:SCI