ADR-Net: Context extraction network based on M-Net for medical image segmentation.

Journal: Medical physics
Published Date: Aug 2, 2020

Abstract

PURPOSE: Medical image segmentation is an essential component of medical image analysis. Accurate segmentation can assist doctors in diagnosis and relieve their fatigue. Although several image segmentation methods based on U-Net have been proposed, their performances have been observed to be suboptimal in the case of small-sized objects. To address this shortcoming, a novel network architecture is proposed in this study to enhance segmentation performance on small medical targets.

Authors

  • Lingyu Ji
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.
  • Xiaoyan Jiang
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.
  • Yongbin Gao
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.
  • Zhijun Fang
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.
  • Qingping Cai
    Changzheng Hospital, Shanghai, 200003, China.
  • Ziran Wei
    Changzheng Hospital, Shanghai, 200003, China.

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