Automated and semi‐automated cell tracking: addressing portability challenges

By Andrey Kan, R. Chakravorty, James Bailey, Christopher Leckie, John Markham, Mark R. Dowling. 2011

25 citations recorded by the source corpus.

Subfields: Medical Imaging, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Medical Imaging

1. Andrey Kan
2. Joakim Jaldén
3. Klas E. G. Magnusson
4. Oren Z. Kraus
5. Brendan J. Frey

In Computational Biology & Bioinformatics

1. Erik H. W. Meijering
2. Andrey Kan

Citations in the corpus

• A benchmark for comparison of cell tracking algorithms (2014, methodology): “A noteworthy attempt toward a formalization of the evaluation of cell tracking algorithms was described by Kan et al. (2011).”
• Machine learning applications in cell image analysis (2017, background): “14,18,49,50 Active learning is a particular type of semi-automated system, whereby the human is iteratively asked to provide labels for instances.”