Detailed Information on Publication Record
2009
A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms
MAŠKA, Martin, Ondřej DANĚK, Carlos ORTIZ-DE-SOLÓRZANO, Arrate MUÑOZ-BARRUTIA, Michal KOZUBEK et. al.Basic information
Original name
A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms
Name in Czech
Dvoukroková segmentace buněčných jader pomocí rychlých Level Set algoritmů
Authors
MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Ondřej DANĚK (203 Czech Republic, belonging to the institution), Carlos ORTIZ-DE-SOLÓRZANO (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Ignacio FERNÁNDEZ GARCÍA (724 Spain)
Edition
Berlin, Heidelberg, 16th Scandinavian Conference on Image Analysis, p. 390-399, 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
electronic version available online
References:
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/09:00067108
Organization unit
Faculty of Informatics
ISBN
978-3-642-02229-6
ISSN
UT WoS
000268661000040
Keywords in English
nucleus segmentation; touching nuclei; level set framework; contour evolution; topology preservation
Tags
Tags
International impact, Reviewed
Změněno: 13/12/2015 02:07, doc. RNDr. Martin Maška, Ph.D.
V originále
An accurate localization of a cell nucleus boundary is inevitable for any further quantitative analysis of various subnuclear structures within the cell nucleus. In this paper, we present a novel approach to the cell nucleus segmentation in fluorescence microscope images exploiting the level set framework. The proposed method works in two phases. In the first phase, the image foreground is separated from the background using a fast level set-like algorithm by Nilsson and Heyden (2003). A binary mask of isolated cell nuclei as well as their clusters is obtained as a result of the first phase. A fast topology-preserving level set-like algorithm by Maška and Matula (2008) is applied in the second phase to delineate individual cell nuclei within the clusters. The potential of the new method is demonstrated on images of DAPI-stained nuclei of a lung cancer cell line A549 and promyelocytic leukemia cell line HL60.
In Czech
Článek pojednává o dvoukrokové segmentaci buněčných jader pomocí rychlých Level Set algoritmů
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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