Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

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

Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

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

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

1 Zitat (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.

Originalsprache	Englisch
Titel	26th European Modeling and Simulation Symposium, EMSS 2014
Redakteure/-innen	Yuri Merkuryev, Lin Zhang, Emilio Jimenez, Francesco Longo, Michael Affenzeller, Agostino G. Bruzzone
Herausgeber (Verlag)	DIPTEM University of Genova
Seiten	79-86
Seitenumfang	8
ISBN (elektronisch)	9788897999324
ISBN (Print)	978-88-97999-38-6
Publikationsstatus	Veröffentlicht - 2014
Veranstaltung	The 26th European Modeling & Simulation Symposium EMSS 2014 - Bordeaux, Frankreich Dauer: 10 Sep. 2014 → 12 Sep. 2014 http://www.msc-les.org/conf/emss2014/index.htm

Publikationsreihe

Name	26th European Modeling and Simulation Symposium, EMSS 2014

Konferenz

Konferenz	The 26th European Modeling & Simulation Symposium EMSS 2014
Land/Gebiet	Frankreich
Ort	Bordeaux
Zeitraum	10.09.2014 → 12.09.2014
Internetadresse	http://www.msc-les.org/conf/emss2014/index.htm

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Obritzberger, L., Schaller, S., Dorfer, V., Loimayr, C., Hennerbichler, S., & Winkler, S. (2014). Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies. in Y. Merkuryev, L. Zhang, E. Jimenez, F. Longo, M. Affenzeller, & A. G. Bruzzone (Hrsg.), 26th European Modeling and Simulation Symposium, EMSS 2014 (S. 79-86). (26th European Modeling and Simulation Symposium, EMSS 2014). DIPTEM University of Genova.

Obritzberger, Lisa ; Schaller, Susanne ; Dorfer, Viktoria et al. / Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies. 26th European Modeling and Simulation Symposium, EMSS 2014. Hrsg. / Yuri Merkuryev ; Lin Zhang ; Emilio Jimenez ; Francesco Longo ; Michael Affenzeller ; Agostino G. Bruzzone. DIPTEM University of Genova, 2014. S. 79-86 (26th European Modeling and Simulation Symposium, EMSS 2014).

@inproceedings{a4e1effecb664cfca8d0db142c68f456,

title = "Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies",

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.",

keywords = "Human cornea analysis, Image analysis evolution strategies, Structure identification",

author = "Lisa Obritzberger and Susanne Schaller and Viktoria Dorfer and Claudia Loimayr and Simone Hennerbichler and Stephan Winkler",

year = "2014",

language = "English",

isbn = "978-88-97999-38-6",

series = "26th European Modeling and Simulation Symposium, EMSS 2014",

publisher = "DIPTEM University of Genova",

pages = "79--86",

editor = "Yuri Merkuryev and Lin Zhang and Emilio Jimenez and Francesco Longo and Michael Affenzeller and Bruzzone, {Agostino G.}",

booktitle = "26th European Modeling and Simulation Symposium, EMSS 2014",

note = "The 26th European Modeling & Simulation Symposium EMSS 2014 ; Conference date: 10-09-2014 Through 12-09-2014",

url = "http://www.msc-les.org/conf/emss2014/index.htm",

}

Obritzberger, L, Schaller, S , Dorfer, V, Loimayr, C, Hennerbichler, S & Winkler, S 2014, Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies. in Y Merkuryev, L Zhang, E Jimenez, F Longo, M Affenzeller & AG Bruzzone (Hrsg.), 26th European Modeling and Simulation Symposium, EMSS 2014. 26th European Modeling and Simulation Symposium, EMSS 2014, DIPTEM University of Genova, S. 79-86, The 26th European Modeling & Simulation Symposium EMSS 2014, Bordeaux, Frankreich, 10.09.2014.

Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies. / Obritzberger, Lisa; Schaller, Susanne ; Dorfer, Viktoria et al.
26th European Modeling and Simulation Symposium, EMSS 2014. Hrsg. / Yuri Merkuryev; Lin Zhang; Emilio Jimenez; Francesco Longo; Michael Affenzeller; Agostino G. Bruzzone. DIPTEM University of Genova, 2014. S. 79-86 (26th European Modeling and Simulation Symposium, EMSS 2014).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

AU - Obritzberger, Lisa

AU - Schaller, Susanne

AU - Dorfer, Viktoria

AU - Loimayr, Claudia

AU - Hennerbichler, Simone

AU - Winkler, Stephan

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Human cornea analysis

KW - Image analysis evolution strategies

KW - Structure identification

UR - http://www.scopus.com/inward/record.url?scp=84912110718&partnerID=8YFLogxK

M3 - Conference contribution

SN - 978-88-97999-38-6

T3 - 26th European Modeling and Simulation Symposium, EMSS 2014

SP - 79

EP - 86

BT - 26th European Modeling and Simulation Symposium, EMSS 2014

A2 - Merkuryev, Yuri

A2 - Zhang, Lin

A2 - Jimenez, Emilio

A2 - Longo, Francesco

A2 - Affenzeller, Michael

A2 - Bruzzone, Agostino G.

PB - DIPTEM University of Genova

T2 - The 26th European Modeling & Simulation Symposium EMSS 2014

Y2 - 10 September 2014 through 12 September 2014

ER -

Obritzberger L, Schaller S , Dorfer V, Loimayr C, Hennerbichler S, Winkler S. Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies. in Merkuryev Y, Zhang L, Jimenez E, Longo F, Affenzeller M, Bruzzone AG, Hrsg., 26th European Modeling and Simulation Symposium, EMSS 2014. DIPTEM University of Genova. 2014. S. 79-86. (26th European Modeling and Simulation Symposium, EMSS 2014).

Identification of Endothelial Cell Morphology in Cornea Using Evolution Strategies

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