Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.

Abstract

Authors

• Yang Gu
  University of Arizona, Tucson, Arizona.
• Wen Xu
  Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China.
• Ting Liu
  School of Public Health, Shanxi Medical University, Taiyuan 030000, China.
• Xing An
  Beijing Research Institute, Shenzhen Mindray Biomedical Electronics Co, Ltd, Beijing, China.
• Jiawei Tian
  Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Harbin City, 150086, Heilongjiang Province, People's Republic of China. jwtian2004@163.com.
• Haitao Ran
  Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University & Chongqing Key Laboratory of Ultrasound Molecular Imaging, Chongqing, China.
• Weidong Ren
  Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
• Cai Chang
  Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
• Jianjun Yuan
  Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
• Chunsong Kang
  Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China.
• Youbin Deng
  Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.
• Hui Wang
  Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
• Baoming Luo
  Department of Ultrasound, The Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
• Shenglan Guo
  Department of Ultrasonography, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
• Qi Zhou
• Ensheng Xue
  Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.
• Weiwei Zhan
  Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China.
• Qing Zhou
  Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
• Jie Li
  Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
• Ping Zhou
• Man Chen
  Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China.
• Ying Gu
  Department of Radiation Oncology, Jinling Hospital, Nanjing, Jiangsu, 210002, China.
• Wu Chen
• Yuhong Zhang
  Department of Ultrasound, The Second Hospital of Dalian Medical University, Dalian, China.
• Jianchu Li
  Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China.
• Longfei Cong
  Beijing Research Institute, Shenzhen Mindray Biomedical Electronics Co, Ltd, Beijing, China.
• Lei Zhu
  School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.
• Hongyan Wang
  State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, 200432, China.
• Yuxin Jiang
  Department of Ultrasound, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China.

Keywords

External Resources