A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images.

Journal: Endokrynologia Polska
Published Date: Feb 23, 2021

Abstract

INTRODUCTION: We designed 5 convolutional neural network (CNN) models and ensemble models to differentiate malignant and benign thyroid nodules on CT, and compared the diagnostic performance of CNN models with that of radiologists.

Authors

  • Hong-Bo Zhao
    Department of Radiology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jing Ye
    d Department of Digestive System Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang Province, China.
  • Lu-Fan Chang
    Beijing Yizhun-ai Technology Co. Ltd., Beijing, China.
  • Qing Xu
    Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
  • Bo-Wen Shi
    Department of Radiology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Lu-Lu Liu
    Department of Radiology, Yangzhou University, Yangzhou, China.
  • Yi-Li Yin
    Department of Radiology, Subei People's Hospital of Jiangsu province, Yangzhou, China. yinli_li15@163.com.
  • Bin-Bin Shi
    Department of Radiology, Subei People's Hospital of Jiangsu province, Yangzhou, China.

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