Title
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. A novel framework for objective evaluation of cell tracking algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2013 Cell Tracking Challenge. In this article, we present the logistics, datasets, methods and results of the challenge and lay down the principles for future uses of this benchmark. Results: The main contributions of the challenge include the creation of a comprehensive video dataset repository and the definition of objective measures for comparison and ranking of the algorithms. With this benchmark, six algorithms covering a variety of segmentation and tracking paradigms have been compared and ranked based on their performance on both synthetic and real datasets. Given the diversity of the datasets, we do not declare a single winner of the challenge. Instead, we present and discuss the results for each individual dataset separately.
Year
DOI
Venue
2014
10.1093/bioinformatics/btu080
BIOINFORMATICS
Keywords
Field
DocType
fluorescence microscopy,algorithms,benchmarking
Data mining,Cell tracking,Ranking,Medical imaging,Computer science,Algorithm,Ground truth,Software,Bioinformatics,Benchmarking,Executable
Journal
Volume
Issue
ISSN
30
11
1367-4803
Citations 
PageRank 
References 
70
9.75
14
Authors
30