An objective comparison of cell-tracking algorithms

Investor logo
Investor logo

Warning

This publication doesn't include Faculty of Education. It includes Faculty of Informatics. Official publication website can be found on muni.cz.
Authors

ULMAN Vladimír MAŠKA Martin MAGNUSSON Klas E G RONNEBERGER Olaf HAUBOLD Carsten HARDER Nathalie MATULA Pavel MATULA Petr SVOBODA David RADOJEVIC Miroslav SMAL Ihor ROHR Karl JALDÉN Joakim BLAU Helen M DZYUBACHYK Oleh LELIEVELDT Boudewijn XIAO Pengdong LI Yuexiang CHO Siu-Yeung DUFOUR Alexandre C OLIVO-MARIN Jean-Christophe REYES-ALDASORO Constantino C SOLIS-LEMUS Jose A BENSCH Robert BROX Thomas STEGMAIER Johannes MIKUT Ralf WOLF Steffen HAMPRECHT Fred A ESTEVES Tiago QUELHAS Pedro DEMIREL Ömer MALMSTRÖM Lars JUG Florian TOMANCAK Pavel MEIJERING Erik MUNOZ-BARRUTIA Arrate KOZUBEK Michal ORTIZ-DE-SOLORZANO Carlos

Year of publication 2017
Type Article in Periodical
Magazine / Source Nature Methods
MU Faculty or unit

Faculty of Informatics

Citation
web URL
Doi http://dx.doi.org/10.1038/nmeth.4473
Field Informatics
Keywords Cell migration; Image processing
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.