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Single-click interactive cell nucleus image segmentation: Boosting accuracy with enhanced exclusion map and refinement segmentation

  • Chinese Academy of Sciences
  • Xi'an Jiaotong University
  • Wenzhou Medical University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Nuclei in cell images are characterized by small size, high quantity, and high density, often with overlapping phenomena. This makes interactive methods such as contour-based approaches unsuitable for interactive cell nucleus image segmentation tasks. To improve the segmentation accuracy of nuclei, this study proposes a single-click interactive cell nucleus image segmentation method based on enhanced exclusion map and refinement segmentation. The proposed method employs a simple single-click interaction mechanism to alleviate the user's interaction burden. It introduces an enhanced exclusion map module and a Refinement Segmentation Module based on focused interaction to improve the quality of interactive cell nucleus image segmentation. The code is available at https://github.com/AICFStar/IClick.

Original languageEnglish
Article number108396
JournalBiomedical Signal Processing and Control
Volume111
DOIs
StatePublished - Jan 2026

Keywords

  • Cell nucleus
  • Enhanced exclusion map
  • Interactive segmentation
  • Medical images
  • Refinement segmentation

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