Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.

Abstract

Authors

• Mengdi Liang
  State Key Laboratory of Respiratory Disease, Sino-French Hoffmann Institute, School of Basic Medical Science, Guangzhou Medical University, Guangzhou, China.
• Yuelin Liu
  Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
• Yue Huang
  Xiamen University, Xiamen, Fujian 361005, China.
• Ge Ma
  Department of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi 710062, PR China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an, Shaanxi 710062, PR China.
• Xu Han
• Shuaikang Li
  Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
• Jing Hang
  Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
• Hui Xie
  Department of Breast Diseases, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province Hospital, Nanjing, Jiangsu, China.
• Lin Chen
  College of Sports, Nanjing Tech University, Nanjing, China.
• Xiaoan Liu
  Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
• Shui Wang
  Department of Breast Diseases, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province Hospital, Nanjing, Jiangsu, China. Electronic address: ws0801@hotmail.com.
• Tiansong Xia

Keywords

External Resources