ULMAN, Vladimír, Martin MAŠKA, Klas E G MAGNUSSON, Olaf RONNEBERGER, Carsten HAUBOLD, Nathalie HARDER, Pavel MATULA, Petr MATULA, David SVOBODA, Miroslav RADOJEVIC, Ihor SMAL, Karl ROHR, Joakim JALDÉN, Helen M BLAU, Oleh DZYUBACHYK, Boudewijn LELIEVELDT, Pengdong XIAO, Yuexiang LI, Siu-Yeung CHO, Alexandre C DUFOUR, Jean-Christophe OLIVO-MARIN, Constantino C REYES-ALDASORO, Jose A SOLIS-LEMUS, Robert BENSCH, Thomas BROX, Johannes STEGMAIER, Ralf MIKUT, Steffen WOLF, Fred A HAMPRECHT, Tiago ESTEVES, Pedro QUELHAS, Ömer DEMIREL, Lars MALMSTRÖM, Florian JUG, Pavel TOMANCAK, Erik MEIJERING, Arrate MUÑOZ-BARRUTIA, Michal KOZUBEK and Carlos ORTIZ-DE-SOLORZANO. An objective comparison of cell-tracking algorithms. Nature Methods, Macmillan Publishers Limited, part of Springer Nature, 2017, vol. 14, No 12, p. 1141-1152. ISSN 1548-7091. doi:10.1038/nmeth.4473.
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Basic information
Original name An objective comparison of cell-tracking algorithms
Name in Czech Objektivní porovnání algoritmů pro sledování buněk
Authors ULMAN, Vladimír (203 Czech Republic, guarantor, belonging to the institution), Martin MAŠKA (203 Czech Republic, belonging to the institution), Klas E G MAGNUSSON (752 Sweden), Olaf RONNEBERGER (276 Germany), Carsten HAUBOLD (276 Germany), Nathalie HARDER (276 Germany), Pavel MATULA (203 Czech Republic, belonging to the institution), Petr MATULA (203 Czech Republic, belonging to the institution), David SVOBODA (203 Czech Republic, belonging to the institution), Miroslav RADOJEVIC (528 Netherlands), Ihor SMAL (528 Netherlands), Karl ROHR (276 Germany), Joakim JALDÉN (752 Sweden), Helen M BLAU (752 Sweden), Oleh DZYUBACHYK (528 Netherlands), Boudewijn LELIEVELDT (528 Netherlands), Pengdong XIAO (156 China), Yuexiang LI (156 China), Siu-Yeung CHO (156 China), Alexandre C DUFOUR (250 France), Jean-Christophe OLIVO-MARIN (250 France), Constantino C REYES-ALDASORO (724 Spain), Jose A SOLIS-LEMUS (724 Spain), Robert BENSCH (276 Germany), Thomas BROX (276 Germany), Johannes STEGMAIER (276 Germany), Ralf MIKUT (276 Germany), Steffen WOLF (276 Germany), Fred A HAMPRECHT (276 Germany), Tiago ESTEVES (620 Portugal), Pedro QUELHAS (620 Portugal), Ömer DEMIREL (756 Switzerland), Lars MALMSTRÖM (752 Sweden), Florian JUG (276 Germany), Pavel TOMANCAK (276 Germany), Erik MEIJERING (528 Netherlands), Arrate MUÑOZ-BARRUTIA (724 Spain), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Carlos ORTIZ-DE-SOLORZANO (724 Spain).
Edition Nature Methods, Macmillan Publishers Limited, part of Springer Nature, 2017, 1548-7091.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW webová stránka publikace výsledku
Impact factor Impact factor: 26.919
RIV identification code RIV/00216224:14330/17:00095272
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1038/nmeth.4473
UT WoS 000416604800015
Keywords (in Czech) Pohyb buněk; Zpracování obrazu
Keywords in English Cell migration; Image processing
Tags CBIA, cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2018 10:26.
Abstract
We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell tracking algorithms. We analyze the results using performance measures for segmentation and tracking that rank all participating methods. We also analyze the performance of all algorithms in terms of biological measures and their practical usability.
Abstract (in Czech)
Článek prezentuje zprávu zahrnující výsledky tří vydání Cell Tracking Challenge, pokračující iniciativě zaměřené na rozvoj a objektivní porovnávání algoritmů sledování buněk. Článek analyzuje výsledky detekování a sledování buněk pomocí několika výkonnostních metrik a na základě toho vypočítává pořadí hodnocených metod. Článek dále analyzuje výkonnosti těchto algoritmů na základě tzv. biologicky inspirovaných metric a také na základě jejich praktické užitnosti.
Links
GBP302/12/G157, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii
Investor: Czech Science Foundation, Projects to promote excellence in basic research
LTC17016, research and development projectName: Benchmarking algoritmů segmentace a sledování buněk
Investor: Ministry of Education, Youth and Sports of the CR, INTER-EXCELLENCE, INTER-COST
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