Machine learning-assisted diagnosis of parotid tumor by using contrast-enhanced CT imaging features.

Journal: Journal of stomatology, oral and maxillofacial surgery
Published Date:

Abstract

PURPOSE: This study aims to develop a machine learning diagnostic model for parotid gland tumors based on preoperative contrast-enhanced CT imaging features to assist in clinical decision-making.

Authors

  • Jiaqi Li
    Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, People's Republic of China.
  • Jiuling Weng
    Laboratory of Haihui Data Analysis, School of Mathematical Sciences, Beihang University, 37 Xueyuan Road, Haidian District, Beijing, 100191, China.
  • Wen Du
    Technology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha 410014, China.
  • Min Gao
    Department of Biliary Surgery, West China Hospital of Sichuan University, Chengdu, China.
  • Haobo Cui
    Laboratory of Haihui Data Analysis, School of Mathematical Sciences, Beihang University, Beijing, China.
  • Pingping Jiang
    The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China.
  • Haihui Wang
    Laboratory of Haihui Data Analysis, School of Mathematical Sciences, Beihang University, 37 Xueyuan Road, Haidian District, Beijing, 100191, China. whhmath@buaa.edu.cn.
  • Xin Peng