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A Polylobar Nucleus Identifying and Extracting Method for Leukocyte Counting.

Jin Chen1, Yiping Cao1, Jie Gao1

  • 1College of Electronic Information Engineering, Sichuan University, Chengdu, Sichuan 610064, China.

Computational and Mathematical Methods in Medicine
|August 2, 2021
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Summary

This study introduces a new method for accurately counting polylobar leukocytes, crucial for diagnosing blood diseases. The technique effectively segments and identifies these cells, improving diagnostic accuracy.

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Area of Science:

  • Hematology
  • Medical Imaging
  • Computational Biology

Background:

  • Accurate leukocyte counting is vital for diagnosing blood diseases.
  • Distinguishing polylobar nuclei (neutrophils, eosinophils) from unilobar nuclei during segmentation is challenging.
  • Precise identification of polylobar leukocytes is essential for reliable diagnostic counts.

Purpose of the Study:

  • To propose and validate a novel method for identifying and extracting polylobar nuclei in leukocytes.
  • To improve the accuracy of leukocyte counting in blood disease diagnosis.
  • To address the segmentation challenges posed by polylobar leukocyte nuclei.

Main Methods:

  • Leukocyte nuclei segmentation using Otsu threshold and area threshold methods.
  • Detection of mitotic polylobar leukocyte edges based on morphological characteristics.
  • Determination of polylobar leukocyte numbers using the minimal distance rule.

Main Results:

  • Achieved a 98.3% segmentation ratio for leukocyte nuclei using Otsu and area threshold methods.
  • Demonstrated accurate counting of polylobar nuclear leukocytes by applying morphological features.
  • Experimental results verified the feasibility and practicality of the proposed identification and counting method.

Conclusions:

  • The developed method accurately segments and counts polylobar leukocytes.
  • This technique enhances the reliability of leukocyte counting for blood disease diagnosis.
  • The study confirms the practical applicability of the proposed computational approach in hematology.