Context-aware learning for cancer cell nucleus recognition in pathology images.

Journal: Bioinformatics (Oxford, England)
Published Date: May 13, 2022

Abstract

MOTIVATION: Nucleus identification supports many quantitative analysis studies that rely on nuclei positions or categories. Contextual information in pathology images refers to information near the to-be-recognized cell, which can be very helpful for nucleus subtyping. Current CNN-based methods do not explicitly encode contextual information within the input images and point annotations.

Authors

  • Tian Bai
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin, China.
  • Jiayu Xu
    College of Computer Science and Technology, Jilin University, 130012 Changchun, China.
  • Zhenting Zhang
    College of Computer Science and Technology, Jilin University, 130012 Changchun, China.
  • Shuyu Guo
    College of Computer Science and Technology, Jilin University, Changchun, 130012, China.
  • Xiao Luo
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.

Keywords

External Resources

Popular Topics
Recent Journals