Ultrasound-based deep learning to differentiate salivary gland tumors.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Mar 29, 2025

Abstract

OBJECTIVE: Accurate preoperative diagnosis is essential for selecting appropriate surgical interventions. This study aims to develop a deep learning model based on ultrasound (US) imaging to accurately differentiate between benign and malignant salivary gland tumors (SGTs).

Authors

  • Jialu He
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Xueer Zhou
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Yilin Hu
    Department of Biomedical Engineering, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
  • Jinbo Zhou
    State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Guiquan Zhu
    West China Hospital of Stomatology, Sichuan University, 610041, Chengdu, China.
  • Jian Pan
    School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.

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