Computerized breast cancer analysis system using three stage semi-supervised learning method.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 8, 2016

Abstract

BACKGROUND AND OBJECTIVE: A large number of labeled medical image data is usually a requirement to train a well-performed computer-aided detection (CAD) system. But the process of data labeling is time consuming, and potential ethical and logistical problems may also present complications. As a result, incorporating unlabeled data into CAD system can be a feasible way to combat these obstacles.

Authors

  • Wenqing Sun
    Department of Electrical and Computer Engineering, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USA.
  • Tzu-Liang Bill Tseng
    Department of Industrial, Manufacturing and Systems Engineering, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USA.
  • Jianying Zhang
    Food Inspection & Quarantine Center, Shenzhen Customs, Shenzhen 518045, China.
  • Wei Qian
    Department of Electrical and Computer Engineering, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USA; Sino-Dutch Biomedical and Information Engineering School, Northeastern University, No.11, Lane 3, Wenhua Road, Heping District, Shenyang, Liaoning 110819, China. Electronic address: wqian@utep.edu.

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