Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

Journal: European journal of radiology
Published Date: Apr 12, 2020

Abstract

PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of thyroid (DLRT) for the differential diagnosis of benign and malignant thyroid nodules from ultrasound (US) images.

Authors

  • Hui Zhou
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Yinhua Jin
    HwaMei Hospital, University of Chinese Academy of Sciences, 41 Xibei Street, Ningbo, 315010, China.
  • Lei Dai
    School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Meiwu Zhang
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Yuqin Qiu
    HwaMei Hospital, University of Chinese Academy of Sciences, 41 Xibei Street, Ningbo, 315010, China.
  • Kun Wang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Jianjun Zheng
    HwaMei Hospital, University of Chinese Academy of Sciences, 41 Xibei Street, Ningbo, 315010, China. Electronic address: zhengjianjun@ucas.ac.cn.

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