Detailed Information on Publication Record
2014
A Benchmark for Comparison of Cell Tracking Algorithms
MAŠKA, Martin, Vladimír ULMAN, David SVOBODA, Pavel MATULA, Petr MATULA et. al.Basic information
Original name
A Benchmark for Comparison of Cell Tracking Algorithms
Authors
MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Vladimír ULMAN (203 Czech Republic, belonging to the institution), David SVOBODA (203 Czech Republic, belonging to the institution), Pavel MATULA (203 Czech Republic, belonging to the institution), Petr MATULA (203 Czech Republic, belonging to the institution), Cristina EDERRA (724 Spain), Ainhoa URBIOLA (724 Spain), Tomás ESPAÑA (724 Spain), Subramanian VENKATESAN (356 India), Deepak M W BALAK (356 India), Pavel KARAS (203 Czech Republic, belonging to the institution), Tereza BOLCKOVÁ (203 Czech Republic, belonging to the institution), Markéta ŠTREITOVÁ (203 Czech Republic, belonging to the institution), Craig CARTHEL (840 United States of America), Stefano CORALUPPI (840 United States of America), Nathalie HARDER (276 Germany), Karl ROHR (276 Germany), Klas E G MAGNUSSON (752 Sweden), Joakim JALDÉN (752 Sweden), Helen M BLAU (826 United Kingdom of Great Britain and Northern Ireland), Oleh DZYUBACHYK (804 Ukraine), Pavel KŘÍŽEK (203 Czech Republic), Guy M HAGEN (528 Netherlands), David PASTOR-ESCUREDO (724 Spain), Daniel JIMENEZ-CARRETERO (724 Spain), Maria J LEDESMA-CARBAYO (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Erik MEIJERING (528 Netherlands), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Carlos ORTIZ-DE-SOLORZANO (724 Spain)
Edition
Bioinformatics, 2014, 1367-4803
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.981
RIV identification code
RIV/00216224:14330/14:00073448
Organization unit
Faculty of Informatics
UT WoS
000337040200016
Keywords in English
cell tracking; fluorescence microscopy
Tags
International impact, Reviewed
Změněno: 13/4/2018 14:54, doc. RNDr. Martin Maška, Ph.D.
Abstract
V originále
Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy is an important task in many biomedical applications. A novel framework for objective evaluation of cell tracking algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2013 Cell Tracking Challenge. In this article, we present the logistics, datasets, methods and results of the challenge and lay down the principles for future uses of this benchmark.
Links
EE2.3.30.0009, research and development project |
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GBP302/12/G157, research and development project |
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