A benchmark for comparison of cell tracking algorithms
Abstract. Motivation: Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy is an important task in many biomedical applications.
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
February 12, 2014
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| In: |
Bioinformatics
Year: 2014, Volume: 30, Issue: 11, Pages: 1609-1617 |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btu080 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btu080 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/30/11/1609/283435 |
| Author Notes: | Martin Maška, Vladimír Ulman, David Svoboda, Pavel Matula, Petr Matula, Cristina Ederra, Ainhoa Urbiola, Tomás España, Subramanian Venkatesan, Deepak M.W. Balak, Pavel Karas, Tereza Bolcková, Markéta Štreitová, Craig Carthel, Stefano Coraluppi, Nathalie Harder, Karl Rohr, Klas E.G. Magnusson, Joakim Jaldén, Helen M. Blau, Oleh Dzyubachyk, Pavel Křížek, Guy M. Hagen, David Pastor-Escuredo, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek and Carlos Ortiz-de-Solorzano |
| Summary: | Abstract. Motivation: Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy is an important task in many biomedical applications. |
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| Item Description: | Gesehen am 17.08.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1367-4811 |
| DOI: | 10.1093/bioinformatics/btu080 |