A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2017

Abstract

PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses.

Authors

  • Yuchen Qiu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA.
  • Shiju Yan
    University of Shanghai for Sciences and Technology, Shanghai, China.
  • Rohith Reddy Gundreddy
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA.
  • Yunzhi Wang
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA.
  • Samuel Cheng
    School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Norman, OK, 73019, USA.
  • Hong Liu
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Bin Zheng
    School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Norman, OK, 73019, USA.

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