A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification.

Journal: Frontiers in endocrinology
Published Date: Jun 17, 2024

Abstract

OBJECTIVE: This study aimed to construct a machine learning model using clinical variables and ultrasound radiomics features for the prediction of the benign or malignant nature of pancreatic tumors.

Authors

  • Shunhan Yao
    Medical College, Guangxi University, Nanning, China.
  • Dunwei Yao
    Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Yuanxiang Huang
    School of Computer, Electronic and Information, Guangxi University, Nanning, China.
  • Shanyu Qin
    Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Qingfeng Chen
    School of Computer, Electronic and Information, and State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, No.100 Daxue Road, Nanning, 530004, China. qingfeng@gxu.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals