Application of deep-learning to the automatic segmentation and classification of lateral lymph nodes on ultrasound images of papillary thyroid carcinoma.

Journal: Asian journal of surgery
Published Date: Mar 6, 2024

Abstract

PURPOSE: It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases (LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep-learning models for the automatic segmentation and classification of LNM on original ultrasound images.

Authors

  • Yuquan Yuan
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Shaodong Hou
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China; Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan, China.
  • Xing Wu
  • Yuteng Wang
    College of Computer Science, Chongqing University, Chongqing, China.
  • Yiceng Sun
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Zeyu Yang
    Department of Orthopedics, Ruijin Hospital LuWan Branch, School of Medicine, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Supeng Yin
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China; Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China. Electronic address: yinsupeng@163.com.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.

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