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A two-stage approach solo_GAN for overlapping cervical cell segmentation based on single-cell identification and boundary generation.

Zihao HeDongyao JiaChuanwang ZhangZiqi LiNengkai Wu
Published in: Appl. Intell. (2024)
Keyphrases
  • cell segmentation
  • low contrast
  • microscope images
  • quantitative analysis
  • cell division
  • clinical applications
  • microscopy images
  • cancer cells
  • image segmentation
  • phase contrast
  • co occurrence
  • region growing