Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

PURPOSE: The authors aimed to establish an artificial intelligence (AI)-based method for preoperative diagnosis of breast lesions from contrast enhanced mammography (CEM) and to explore its biological mechanism.

Authors

  • Haicheng Zhang
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Fan Lin
    Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Tiantian Zheng
    Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, 264000, Yantai, Shandong, P. R. China.
  • Jing Gao
    Department of Gastroenterology 3, Hubei University of Medicine, Renmin Hospital, Shiyan, Hubei, China.
  • Zhongyi Wang
    Information Office, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Kun Zhang
    Philosophy Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Xiang Zhang
    Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Cong Xu
    The Department of Physics, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Feng Zhao
    Department of Blood Transfusion, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Haizhu Xie
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Qin Li
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
  • Kun Cao
    Radiology, Peking University Cancer Hospital & Institute, Beijing, China.
  • Yajia Gu
    Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. cjr.guyajia@vip.163.com.
  • Ning Mao
    Department of Radiology, Peking University People's Hospital, 11 Xizhimen Nandajie, Xicheng District, Beijing, 100044, People's Republic of China.