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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

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
期刊论文编号108396
期刊Biomedical Signal Processing and Control
卷111
DOI
出版状态已出版 - 1月 2026

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