Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.

Journal: BMC oral health
Published Date:

Abstract

OBJECTIVES: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes in SPA based on ultrasound histogram analysis.

Authors

  • Huan-Zhong Su
    Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China. suhz666@163.com.
  • Dao-Hui Yang
    Department of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015, China.
  • Long-Cheng Hong
    Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
  • Yu-Hui Wu
    Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
  • Kun Yu
    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110819, China.
  • Zuo-Bing Zhang
    Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
  • Xiao-Dong Zhang
    Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China. zxdon11@163.com.