A benchmark for comparison of cell tracking algorithms

Motivation: 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 B...

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Detalles Bibliográficos
Autores principales: Maška, Martin, Ulman, Vladimír, Svoboda, David, Matula, Pavel, Matula, Petr, Ederra, Cristina, Urbiola, Ainhoa, España, Tomás, Venkatesan, Subramanian, Balak, Deepak M.W., Karas, Pavel, Bolcková, Tereza, Štreitová, Markéta, Carthel, Craig, Coraluppi, Stefano, Harder, Nathalie, Rohr, Karl, Magnusson, Klas E. G., Jaldén, Joakim, Blau, Helen M., Dzyubachyk, Oleh, Křížek, Pavel, Hagen, Guy M., Pastor-Escuredo, David, Jimenez-Carretero, Daniel, Ledesma-Carbayo, Maria J., Muñoz-Barrutia, Arrate, Meijering, Erik, Kozubek, Michal, Ortiz-de-Solorzano, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029039/
https://www.ncbi.nlm.nih.gov/pubmed/24526711
http://dx.doi.org/10.1093/bioinformatics/btu080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029039/
https://www.ncbi.nlm.nih.gov/pubmed/24526711
http://dx.doi.org/10.1093/bioinformatics/btu080

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