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Neural Computing and Applications

, Volume 31, Issue 10, pp 6767–6780 | Cite as

Effective segmentations in white blood cell images using \(\epsilon \)-SVR-based detection method

  • Feilong CaoEmail author
  • Yuehua Liu
  • Zhen Huang
  • Jianjun Chu
  • Jianwei Zhao
Original Article
  • 125 Downloads

Abstract

White blood cell (WBC) image detection plays an important role in automatic morphological systems since it can simplify and facilitate WBC segmentation and classification procedures. However, existing WBC detection methods mainly rely on the location of the nucleus, which is found difficult to achieve accurate detection results. This paper proposes a novel WBC detection algorithm through sliding windows with varying sizes to traverse the image for candidates. Three cues are explored to measure the candidates, and a combined cue is used as a single output to distinguish positives from negatives. The \(\epsilon \)-support vector regression is employed to determine the detection window from the candidates. In this paper, two applications of the proposed WBC detection approach are carried out, including an adaptive thresholding algorithm based on WBC detection for nucleus segmentation from images and target detection to lessen the users’ interaction for automatic cytoplasm segmentation.

Keywords

White blood cell (WBC) image Detection Segmentation Support vector regression GrabCut algorithm 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant Nos. 61672477 and 61571410

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  • Feilong Cao
    • 1
    Email author
  • Yuehua Liu
    • 1
  • Zhen Huang
    • 1
  • Jianjun Chu
    • 2
  • Jianwei Zhao
    • 1
  1. 1.Department of Applied Mathematics, College of SciencesChina Jiliang UniversityHangzhouPeople’s Republic of China
  2. 2.Jiashan Jasdaq Medical Device Co., Ltd.JiashanPeople’s Republic of China

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