Detailed Information on Publication Record
2009
Segmentation of Touching Cell Nuclei using a Two-Stage Graph Cut Model
DANĚK, Ondřej, Pavel MATULA, Carlos ORTIZ-DE-SOLÓRZANO, Arrate MUÑOZ-BARRUTIA, Martin MAŠKA et. al.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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
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
UT WoS
000268661000042
Keywords in English
image segmentation; cell nuclei cluster separation; graph cuts; energy minimization
Tags
International impact, Reviewed
Změněno: 13/12/2015 02:07, doc. RNDr. Martin Maška, Ph.D.
V originále
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.
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 project |
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| MSM0021622419, plan (intention) |
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| 2B06052, research and development project |
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