Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study.

Abstract

Authors

• Hui Shi
  Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Ke Ding
  Intel Corporation, United States of America.
• Xue Ting Yang
  Department of Ultrasound, Shanghai First People's Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
• Ting Fan Wu
  Bayer Healthcare, Radiology, Shanghai, China.
• Jia Yi Zheng
  Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
• Li Fan Wang
  Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China.
• Bo Yang Zhou
  Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China.
• Li Ping Sun
  Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, China.
• Yi Feng Zhang
  Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, China.
• Chong Ke Zhao
  Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China.
• Hui Xiong Xu
  Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, China.

Keywords

No keywords available for this article.

External Resources