Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.

Journal: Journal of cancer research and clinical oncology
Published Date: May 13, 2022

Abstract

PURPOSE: To investigate the application of deep learning combined with traditional radiomics methods for classifying enlarged cervical lymph nodes.

Authors

  • Wentao Zhang
    Department of Sports Medicine and Rehabilitation, Peking University Shenzhen Hospital, Shenzhen 518036, China.
  • Jian Peng
    Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA.
  • Shan Zhao
    Department of Mathematics, University of Alabama, Tuscaloosa, AL 35487-0350, USA.
  • Wenli Wu
    Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Junjun Yang
    Key Laboratory of Optoelectronic Technology, The Ministry of Education, Chongqing University, Chongqing, 400044, China.
  • Junyong Ye
    Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Shapingba, Chongqing, China. Electronic address: ygyocr@cqu.edu.cn.
  • Shengsheng Xu
    Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Keywords

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