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Related Experiment Video

Updated: Sep 19, 2025

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A cell-interacting and multi-correcting method for automatic circulating tumor cells detection.

Xuan Zhang1, Rensheng Lai2, Ling Bai3

  • 1Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150081, China.

Artificial Intelligence in Medicine
|May 31, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel detector (CMD) for accurately identifying circulating tumor cells (CTCs) in H&E-stained images, improving early cancer diagnosis and prognosis.

Keywords:
Circulating tumor cellsComputer aided diagnosisDeep learningDetection

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Area of Science:

  • Oncology
  • Computational Biology
  • Medical Imaging

Background:

  • Circulating tumor cells (CTCs) detection is crucial for cancer diagnosis and prognosis.
  • Existing methods struggle with accurate CTC capture and distinguishing CTCs from similar-looking cells.

Purpose of the Study:

  • To develop a novel cell-interacting and multi-correcting detector (CMD) for automatic CTC detection in H&E-stained slide images.
  • To address challenges in CTC detection, including accurate capture and differentiation from similar cells.

Main Methods:

  • Developed a cell-interacting and multi-correcting detector (CMD).
  • Incorporated a self-attention module for feature interaction aggregation.
  • Utilized a hard sample mining sampler for correcting ambiguous classifications.

Main Results:

  • CMD demonstrated superior performance over state-of-the-art methods on a multi-center dataset.
  • Ablation experiments confirmed the effectiveness of the self-attention and hard sample mining modules.
  • Successfully applied CMD to H&E-stained images for automated CTC detection.

Conclusions:

  • The CMD detector significantly enhances the accuracy of CTC detection in H&E-stained images.
  • The proposed method offers a promising tool for improving early cancer diagnosis and prognosis.
  • The novel modules effectively address key challenges in automated cell detection.