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Epithelial Cell Segmentation in Histological Images of Testicular Tissue Using Graph-Cut

  • Azadeh Fakhrzadeh
  • Ellinor Spörndly-Nees
  • Lena Holm
  • Cris L. Luengo Hendriks
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)

Abstract

Computerized image processing has provided us with valuable tools for analyzing histology images. However, histology images are complex, and the algorithm which is developed for a data set may not work for a new and unseen data set. The preparation procedure of the tissue before imaging can significantly affect the resulting image. Even for the same staining method, factors like delayed fixation may alter the image quality. In this paper we face the challenging problem of designing a method that works on data sets with strongly varying quality. In environmental research, due to the distance between the site where the wild animals are caught and the laboratory, there is always a delay in fixation. Here we suggest a segmentation method based on the structural information of epithelium cell layer in testicular tissue. The cell nuclei are detected using the fast radial symmetry filter. A graph is constructed on top of the epithelial cells. Graph-cut optimization method is used to cut the links between cells of different tubules. The algorithm is tested on five different groups of animals. Group one is fixed immediately, three groups were left at room temperature for 18, 30 and 42 hours respectively, before fixation. Group five was frozen after 6 hours in room temperature and thawed. The suggested algorithm gives promising results for the whole data set.

Keywords

Voronoi Diagram Delaunay Triangulation Malignant Mesothelioma Testicular Tissue Epithelial Cell Layer 
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 2013

Authors and Affiliations

  • Azadeh Fakhrzadeh
    • 1
  • Ellinor Spörndly-Nees
    • 2
  • Lena Holm
    • 2
  • Cris L. Luengo Hendriks
    • 1
  1. 1.Centre for Image AnalysisSwedish University of Agricultural SciencesUppsalaSweden
  2. 2.Department of Anatomy, Physiology and BiochemistrySwedish University of Agricultural SciencesUppsalaSweden

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