Multicontext multitask learning networks for mass detection in mammogram.

Journal: Medical physics
Published Date: Mar 5, 2020

Abstract

PURPOSE: In this paper, for the purpose of accurate and efficient mass detection, we propose a new deep learning framework, including two major stages: Suspicious region localization (SRL) and Multicontext Multitask Learning (MCMTL).

Authors

  • Rongbo Shen
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, PR China.
  • Ke Zhou
    School of Statistics at University of International Business and Economics, Beijing, China. Electronic address: 02417@uibe.edu.cn.
  • Kezhou Yan
    AI Healthcare, Technology and Engineering Group, Tencent Inc, Tencent Building, Kejizhongyi Avenue, Hi-tech Park, Shenzhen, PR China.
  • Kuan Tian
    AI Healthcare, Technology and Engineering Group, Tencent Inc, Tencent Building, Kejizhongyi Avenue, Hi-tech Park, Shenzhen, PR China.
  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

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