Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.

Abstract

Authors

• Jionghui Gu
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Tong Tong
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Dong Xu
  Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.
• Fang Cheng
  Department of Cancer Center, Union Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, PR China.
• Chengyu Fang
  Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
• Chang He
  Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
• Jing Wang
  Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
• Baohua Wang
  College of Mathematics and statistics, Shenzhen University, Shenzhen, GuangDong, China.
• Xin Yang
  Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
• Kun Wang
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Jie Tian
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Tian'an Jiang
  Department of Ultrasound, First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China.

Keywords

External Resources