Towards a Realistic Distribution of Cells in Synthetically
Generated 3D Cell Populations

D 2013

Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations

SVOBODA, David a Vladimír ULMAN

Základní údaje

Originální název

Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations

Autoři

SVOBODA, David (203 Česká republika, garant, domácí) a Vladimír ULMAN (203 Česká republika, domácí)

Vydání

LNCS 8157, Part II. Berlin, Heidelberg, 17th International Conference on Image Analysis and Processing - ICIAP 2013, od s. 429-438, 10 s. 2013

Nakladatel

Springer-Verlag

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Stát vydavatele

Itálie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/13:00066208

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-41183-0

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-41184-7_44

UT WoS

000329811200044

Klíčová slova anglicky

cell populations; simulation; cross-correlation

Štítky

CBIA, cbia-web, core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 9. 2014 13:41, doc. RNDr. David Svoboda, Ph.D.

Anotace

V originále

In fluorescence microscopy, the proper evaluation of image segmentation algorithms is still an open problem. In the field of cell segmentation, such evaluation can be seen as a study of the given algorithm how well it can discover individual cells as a function of the number of them in an image (size of cell population), their mutual positions (density of cell clusters), and the level of noise. Principally, there are two approaches to the evaluation. One approach requires real input images and an expert that verifies the segmentation results. This is, however, expert dependent and, namely when handling 3D data, very tedious. The second approach uses synthetic images with ground truth data to which the segmentation result is compared objectively. In this paper, we propose a new method for generating synthetic 3D images showing naturally distributed cell populations attached to microscope slide. Cell count and clustering probability are user parameters of the method.

Návaznosti

GBP302/12/G157, projekt VaV

Název: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii

Investor: Grantová agentura ČR, Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii

Citovat

SVOBODA, David a Vladimír ULMAN. Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. In Alfredo Petrosino. 17th International Conference on Image Analysis and Processing - ICIAP 2013. LNCS 8157, Part II. Berlin, Heidelberg: Springer-Verlag, 2013, s. 429-438. ISBN 978-3-642-41183-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-41184-7_44.

@inproceedings{1112258,
   author = {Svoboda, David and Ulman, Vladimír},
   address = {Berlin, Heidelberg},
   booktitle = {17th International Conference on Image Analysis and Processing - ICIAP 2013},
   doi = {http://dx.doi.org/10.1007/978-3-642-41184-7_44},
   edition = {LNCS 8157, Part II},
   editor = {Alfredo Petrosino},
   keywords = {cell populations; simulation; cross-correlation},
   howpublished = {paměťový nosič},
   language = {eng},
   location = {Berlin, Heidelberg},
   isbn = {978-3-642-41183-0},
   pages = {429-438},
   publisher = {Springer-Verlag},
   title = {Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations},
   year = {2013}
}

TY  - JOUR
ID  - 1112258
AU  - Svoboda, David - Ulman, Vladimír
PY  - 2013
TI  - Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations
PB  - Springer-Verlag
CY  - Berlin, Heidelberg
SN  - 9783642411830
KW  - cell populations
KW  - simulation
KW  - cross-correlation
N2  - In fluorescence microscopy, the proper evaluation of image segmentation algorithms is still an open problem. In the field of cell segmentation, such evaluation can be seen as a study of the given algorithm how well it can discover individual cells as a function of the number of them in an image (size of cell population), their mutual positions (density of cell clusters), and the level of noise. Principally, there are two approaches to the evaluation. One approach requires real input images and an expert that verifies the segmentation results. This is, however, expert dependent and, namely when handling 3D data, very tedious. The second approach uses synthetic images with ground truth data to which the segmentation result is compared objectively. In this paper, we propose a new method for generating synthetic 3D images showing naturally distributed cell populations attached to microscope slide. Cell count and clustering probability are user parameters of the method.
ER  -

SVOBODA, David a Vladimír ULMAN. Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. In Alfredo Petrosino. \textit{17th International Conference on Image Analysis and Processing - ICIAP 2013}. LNCS 8157, Part II. Berlin, Heidelberg: Springer-Verlag, 2013, s.~429-438. ISBN~978-3-642-41183-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-41184-7\_{}44.

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