New one-step model of breast tumor locating based on deep learning.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2019

Abstract

BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) image is still a challenging work in computer-aided diagnosis (CAD).

Authors

  • Chao Tao
    Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China.
  • Ke Chen
    Department of Signal Processing, Tampere University of Technology, Finland.
  • Lin Han
    Department of Radiology Center, The First Affiliated Hospital of Xinxiang Medical University, Xin Xiang, China.
  • Yulan Peng
    Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Zhan Hua
    China-Japan Friendship Hospital, Beijing, China.
  • Jiangli Lin
    Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals