Mass detection in mammograms by bilateral analysis using convolution neural network.

Journal: Computer methods and programs in biomedicine
Published Date: May 24, 2020

Abstract

BACKGROUND AND OBJECTIVE: Automatic detection of the masses in mammograms is a big challenge and plays a crucial role to assist radiologists for accurate diagnosis. In this paper, a bilateral image analysis method based on Convolution Neural Network (CNN) is developed for mass detection in mammograms.

Authors

  • Yanfeng Li
    School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuan Village No 3 in Haidian, Beijing, China.
  • Linlin Zhang
    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Houjin Chen
    School of Electronic and Information Engineering, Beijing Jiaotong University, Shangyuan Village No 3 in Haidian, Beijing, China. hjchen@bjtu.edu.cn.
  • Lin Cheng
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.

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