Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2020

Abstract

BACKGROUND: Calcification is an important criterion for classification between benign and malignant thyroid nodules. Deep learning provides an important means for automatic calcification recognition, but it is tedious to annotate pixel-level labels for calcifications with various morphologies.

Authors

  • Liqun Zhang
    Department of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Ke Chen
    Department of Signal Processing, Tampere University of Technology, Finland.
  • Lin Han
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Yan Zhuang
    Medical Psychology Department, Taiyuan Mental Hospital, Taiyuan, China.
  • Zhan Hua
    China-Japan Friendship Hospital, Beijing, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Jiangli Lin
    Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China.

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