Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

Lisa Obritzberger, Susanne Schaller, Viktoria Dorfer, Claudia Loimayr, Simone Hennerbichler, Stephan Winkler

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper we describe an algorithm for identifying shapes of endothelial cells in images of human cornea. In order to analyze the quality of cornea samples that shall be transplanted, endothelial cells have to be counted and the morphology of cells has to be identified. The algorithm for shape detection presented in this paper is based on evolution strategies (ES): After several pre-processing steps an initial shape is fitted into the detected cells and repeatedly evaluated and mutated in order to create new candidates from which the best ones are promoted to the next generation. In the experimental section of this paper we analyze the performance of this approach for identifying cell morphologies in images of human cornea samples using different fitness functions.

Original languageEnglish
Title of host publication26th European Modeling and Simulation Symposium, EMSS 2014
EditorsYuri Merkuryev, Lin Zhang, Emilio Jimenez, Francesco Longo, Michael Affenzeller, Agostino G. Bruzzone
PublisherDIPTEM University of Genova
Pages79-86
Number of pages8
ISBN (Electronic)9788897999324
ISBN (Print)978-88-97999-38-6
Publication statusPublished - 2014
EventThe 26th European Modeling & Simulation Symposium EMSS 2014 - Bordeaux, France
Duration: 10 Sep 201412 Sep 2014
http://www.msc-les.org/conf/emss2014/index.htm

Publication series

Name26th European Modeling and Simulation Symposium, EMSS 2014

Conference

ConferenceThe 26th European Modeling & Simulation Symposium EMSS 2014
CountryFrance
CityBordeaux
Period10.09.201412.09.2014
Internet address

Keywords

  • Human cornea analysis
  • Image analysis evolution strategies
  • Structure identification

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