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Counting Lymphocytes in Histopathology Images Using Connected Components

  • Felix Graf
  • Marcin Grzegorzek
  • Dietrich Paulus
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6388)

Abstract

In this paper, a method for automatic counting of lymphocytes in histopathology images using connected components is presented. Our multi-step approach can be divided into two main parts: processing of histopathology images, and recognition of interesting regions. In the processing part, we use thresholding and morphology methods as well as connected components to improve the quality of the images for recognition. The recognition part is based on a modified template matching method. The experimental results achieved for our algorithm prove its high robustness for this kind of applications.

Keywords

Ground Truth Follicular Lymphoma Template Match High Robustness Geodesic Active Contour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Felix Graf
    • 1
  • Marcin Grzegorzek
    • 1
  • Dietrich Paulus
    • 1
  1. 1.Institute of Computational VisualisticsUniversity of Koblenz-LandauKoblenzGermany

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