An adaptive learning method of anchor shape priors for biological cells detection and segmentation.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 8, 2021

Abstract

BACKGROUND AND OBJECTIVE: Owing to the variable shapes, large size difference, uneven grayscale and dense distribution among biological cells in an image, it is still a challenging task for the standard Mask R-CNN to accurately detect and segment cells. Especially, the state-of-the-art anchor-based methods fail to generate the anchors of sufficient scales effectively according to the various sizes and shapes of cells, thereby hardly covering all scales of cells.

Authors

  • Haigen Hu
  • Aizhu Liu
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China; Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China.
  • Qianwei Zhou
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, PR China; Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, PR China.
  • Qiu Guan
  • Xiaoxin Li
    Basic Experimental Center of Natural Science, University of Science and Technology Beijing, Beijing 100083, P. R. China.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.

Keywords

External Resources

Popular Topics
Recent Journals