Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture.

Journal: BMC medical imaging
Published Date: Apr 14, 2023

Abstract

BACKGROUND: Identifying thyroid nodules' boundaries is crucial for making an accurate clinical assessment. However, manual segmentation is time-consuming. This paper utilized U-Net and its improved methods to automatically segment thyroid nodules and glands.

Authors

  • Tianlei Zheng
    CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China.
  • Hang Qin
    Department of Medical Equipment, Nanjing First Hospital of Jiangsu Province, Nanjing, 210006.
  • Yingying Cui
    Department of Pathology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China.
  • Rong Wang
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China. Electronic address: wangrong91@nwsuaf.edu.cn.
  • Weiguo Zhao
    Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China.
  • Shijin Zhang
    Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China.
  • Shi Geng
    Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China.
  • Lei Zhao
    Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.

Keywords

External Resources

Popular Topics
Recent Journals