Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jun 16, 2025

Abstract

PURPOSE: The non-invasive assessment of central lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) plays a crucial role in assisting treatment decision and prognosis planning. This study aims to use an interpretable deep fuzzy network guided by expert knowledge to predict the CLNM status of patients with PTC from ultrasound images.

Authors

  • Wenxu Wang
    School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, Guangdong, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China.
  • Zhenyuan Ning
  • Jifan Zhang
    Nanjing Foreign Language School, Nanjing 210008, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Weizhen Wang
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China.

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