Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

Journal: BMC medical imaging
Published Date: Nov 12, 2021

Abstract

BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset.

Authors

  • Meiyu Li
    College of Electronic Science and Engineering, Jilin University, Changchun, 130012, China.
  • Fenghui Lian
    School of Aviation Operations and Services, Air Force Aviation University, Changchun 130000, People's Republic of China.
  • Chunyu Wang
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Shuxu Guo
    College of Electronic Science and Engineering, Jilin University, Changchun, China.

Keywords

External Resources

Popular Topics
Recent Journals