Abstract
The investigate of the cell image data are able to obtain the correlation between many diseases and abnormal cell behavior by tracking their trajectories. In this paper, a novel Ant Colony Algorithm for cell tracking based on Gaussian cloud model is proposed. In order to speed up the search and improve the accuracy, pheromone prediction strategy based on Gaussian cloud model is utilized. Experiment results show the effectiveness of our approach and it is competitive with some of the existing methods presented in recent literature.
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Lu, M., Xu, B., Dong, X., Zhu, P., & Shi, J. (2019). Ant colony algorithm for cell tracking based on gaussian cloud model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11655 LNCS, pp. 202–209). Springer Verlag. https://doi.org/10.1007/978-3-030-26369-0_19
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