LGF-Net: A multi-scale feature fusion network for thyroid nodule ultrasound image classification.

Journal: Journal of applied clinical medical physics
Published Date: Aug 1, 2025

Abstract

BACKGROUND: Thyroid cancer is one of the most common cancers in clinical practice, and accurate classification of thyroid nodule ultrasound images is crucial for computer-aided diagnosis. Models based on a convolutional neural network (CNN) or a transformer struggle to integrate local and global features, which impacts the recognition accuracy.

Authors

  • Yao Xiao
    School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China; Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Engineering Center of Environmental Diagnosis and Contamination Remediation, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
  • Yan Zhuang
    Medical Psychology Department, Taiyuan Mental Hospital, Taiyuan, China.
  • Wenwu Ling
    Department of Medical Ultrasound, West China Hospital of Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China, 86 18980605569.
  • Shouyu Jiang
    College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Ke Chen
    Department of Signal Processing, Tampere University of Technology, Finland.
  • Guoliang Liao
    College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Yuhua Xie
    College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Yao Hou
    College of Biomedical Engineering, Sichuan University, Chengdu, China.
  • Lin Han
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Zhan Hua
    China-Japan Friendship Hospital, Beijing, China.
  • Yan Luo
    School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
  • Jiangli Lin
    Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals