ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules.

Journal: Computer modeling in engineering & sciences : CMES
Published Date:

Abstract

AIM: This study aims to establish an artificial intelligence model, ThyroidNet, to diagnose thyroid nodules using deep learning techniques accurately.

Authors

  • Lu Chen
    Ultrasonic Department, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, China.
  • Huaqiang Chen
    School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 211200, China.
  • Zhikai Pan
    School of Software Engineering, Quanzhou Normal University, Quanzhou, 362000, China.
  • Sheng Xu
    School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 211200, China.
  • Guangsheng Lai
    School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 211200, China.
  • Shuwen Chen
    School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 211200, China.
  • Shuihua Wang
    School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK.
  • Xiaodong Gu
    School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing, 211200, China.
  • Yudong Zhang
    School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK.

Keywords

No keywords available for this article.