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Segmentation and Morphometry of Histological Sections Using Deformable Models: A New Tool for Evaluating Testicular Histopathology

  • Miguel A. Guevara
  • Augusto Silva
  • Helena Oliveira
  • Maria de Lourdes Pereira
  • Fernando Morgado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

This paper presents a tool that uses image segmentation and morphometric methods to evaluate testicular toxicity through the analysis of histological sections of mice testis. The tool is based on deformable models (Snakes) and includes several adaptations to solve important difficulties of histological sections imaging, mainly the low contrast edges between the boundary tissue of seminiferous tubules and the interstitial tissue. The method is designed to produce accurate segmentation and to keep track of tubular identities on images under study. The extracted data can be used straightforwardly to compute quantitative parameters characterizing tubular morphology. The method was validated on a realistic data set and the results were compared with those obtained with traditional techniques. The application of this new technique facilitates measurements allowing assessing a higher number of tubules in a fastest and accurate way.

Keywords

Active Contour Seminiferous Tubule Edge Point Deformable Model Gradient Vector Flow 
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 2003

Authors and Affiliations

  • Miguel A. Guevara
    • 1
  • Augusto Silva
    • 2
  • Helena Oliveira
    • 3
  • Maria de Lourdes Pereira
    • 3
  • Fernando Morgado
    • 3
  1. 1.Computer Sciences FacultyUniversity of Ciego de AvilaCiego de AvilaCuba
  2. 2.IEETAUniversity of AveiroAveiroPortugal
  3. 3.Biology DepartmentUniversity of AveiroAveiroPortugal

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