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An Automatic Cell Counting Method for a Microscopic Tissue Image from Breast Cancer

  • Pornchai Phukpattaranont
  • Pleumjit Boonyaphiphat
Part of the IFMBE Proceedings book series (IFMBE, volume 15)

Abstract

This paper presents an automatic cell counting method for a microscopic tissue image from breast cancer. We perform color space changing from RGB to CIELab and anisotropic diffusion filtering for noise removal in the preprocessing stage. Subsequently, the segmentation algorithm based on local adaptive thresholding, morphological operations, and cell size considerations is performed. In order to obtain the more correct counting number of cancer cells, we further process the image containing attached cancer cells with marker-controlled watershed segmentation. Results from our automatic counting approach show a promising solution to the traditional manual analysis. That is, the counting number of cancer cells from the automatic approach is comparable to that from a specialist.

Keywords

Quantitative immunohistopathology Image segmentation Cancer cell images 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Pornchai Phukpattaranont
    • 1
    • 2
  • Pleumjit Boonyaphiphat
    • 3
    • 2
  1. 1.Prince of Songkla UniversitySongkhlaThailand
  2. 2.Department of Electrical EngineeringPrince of Songkla UniversitySongkhlaThailand
  3. 3.Department of PathologyPrince of Songkla UniversitySongkhlaThailand

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