AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.

Journal: Breast (Edinburgh, Scotland)
Published Date:

Abstract

PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.

Authors

  • Zhenzhen Shao
    Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, PR China. Electronic address: shaozhenzhen726@163.com.
  • Yuxin Cai
    Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, PR China. Electronic address: 977052259@qq.com.
  • Yujuan Hao
    Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, PR China. Electronic address: hao_yj2009@sina.com.
  • Congyi Hu
    Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, PR China. Electronic address: hucongyi1987@sina.com.
  • Ziling Yu
    Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, PR China. Electronic address: ziling113@163.com.
  • Yue Shen
    Henan Geology Mineral College, Zhengzhou 451464, China.
  • Fei Gao
    College of Biological Sciences, China Agricultural University, Beijing 100193, China.
  • Fandong Zhang
    Deepwise Artificial Intelligence (AI) Lab, Deepwise, Beijing, China.
  • Wenjuan Ma
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China. Electronic address: mawenjuan2008@163.com.
  • Qian Zhou
    Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Jingjing Chen
    Department of Cardiovascular Medicine, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
  • Hong Lu