DANĚK, Ondřej, Pavel MATULA, Carlos ORTIZ-DE-SOLÓRZANO, Arrate MUÑOZ-BARRUTIA, Martin MAŠKA and Michal KOZUBEK. Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model. In 16th Scandinavian Conference on Image Analysis. Berlin, Heidelberg: Springer-Verlag, 2009. p. 410-419. ISBN 978-3-642-02229-6. doi:10.1007/978-3-642-02230-2_42.
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Basic information
Original name Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model
Name in Czech Segmentace dotýkajících se buněčných jader pomocí dvou fázové metody založené na hledání minimálního řezu v grafu
Authors DANĚK, Ondřej (203 Czech Republic, guarantor, belonging to the institution), Pavel MATULA (203 Czech Republic, belonging to the institution), Carlos ORTIZ-DE-SOLÓRZANO (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Martin MAŠKA (203 Czech Republic, belonging to the institution) and Michal KOZUBEK (203 Czech Republic, belonging to the institution).
Edition Berlin, Heidelberg, 16th Scandinavian Conference on Image Analysis, p. 410-419, 10 pp. 2009.
Publisher Springer-Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/09:00067107
Organization unit Faculty of Informatics
ISBN 978-3-642-02229-6
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-02230-2_42
UT WoS 000268661000042
Keywords in English image segmentation; cell nuclei cluster separation; graph cuts; energy minimization
Tags cbia-web, cell nuclei cluster separation, Energy Minimization, graph cuts, image segmentation
Tags International impact, Reviewed
Changed by Changed by: RNDr. Martin Maška, Ph.D., učo 60734. Changed: 13/12/2015 02:07.
Abstract
Methods based on combinatorial graph cut algorithms received a lot of attention in the recent years for their robustness as well as reasonable computational demands. These methods are built upon an underlying maximum a posteriori estimation of Markov random fields and are suitable to solve accurately many different problems in image analysis, including image segmentation. In this paper we propose a two-stage graph cut based model for segmentation of touching cell nuclei in fluorescence microscopy images. In the first stage voxels with very high probability of being foreground or background are found and separated by a boundary with a minimal geodesic length. In the second stage the obtained clusters are split into isolated cells by combining image gradient information and incorporated a priori knowledge about the shape of the nuclei. Moreover, these two qualities can be easily balanced using a single user parameter. Preliminary tests on real data show promising results of the method.
Abstract (in Czech)
Článek pojednává o segmentaci dotýkajících se buněčných jader pomocí dvou fázové metody založené na hledání minimálního řezu v grafu.
Links
LC535, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Basic Research Center
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Research Intents
2B06052, research and development projectName: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Health and quality of life
PrintDisplayed: 21/4/2021 01:33