Deep Learning-Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PMID: 38822195

Abstract

PURPOSE: To develop a deep neural network system for the automatic segmentation and risk stratification prediction of gastrointestinal stromal tumors (GISTs).

Authors

  • Minling Zhuo
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Xing Chen
    School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, China. xingchen@amss.ac.cn.
  • Jingjing Guo
    The School of Management, Hefei University of Technology, Hefei, China.
  • Qingfu Qian
    Department of Ultrasound, Fujian Medical University Affiliated Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
  • Ensheng Xue
    Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.
  • Zhikui Chen
    School of Software, Dalian University of Technology, Dalian, Liaoning, China zkchen@dlut.edu.cn.

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