Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning.

Journal: PloS one
PMID:

Abstract

BACKGROUND: Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.

Authors

  • Yan Xiong
    School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China. xiongyan207@163.com.
  • Yi Zheng
    Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, 300211 Tianjin, China.
  • Wei Long
    Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Yuxin Wang
    The Key Laboratory of Food Safety Risk Assessment, Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China. Electronic address: wangyx@cfsa.net.cn.
  • Qin Wang
    Department of Pharmacy, Affiliated Hospital of Nantong University, Nantong, China.
  • Yi You
    Nanjing University of Chinese Medicine, Nanjing, China.
  • Yuheng Zhou
    Nanjing University of Chinese Medicine, Nanjing, China.
  • Jiang Zhong
    Department of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
  • Yunxi Ge
    Department of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
  • Youchen Li
    Department of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
  • Yan Huang
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Zhiyong Zhou
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.