Publication details

Cell Tracking based on Integer Linear Programming and Probability Scores

Investor logo


Year of publication 2024
Type Article in Proceedings
Conference Athens, Greece, IEEE 21th International Symposium on Biomedical Imaging
MU Faculty or unit

Faculty of Informatics

Description The cell tracking problem can be formulated as a global optimization problem based on integer linear (IL) programming. The obtained solution depends on the definition of the IL program and the chosen costs of the events considered in the problem formulation. In general, balancing meaningful costs across different events is difficult. To simplify this problem, we propose a cost assignment approach based on probability scores, allowing us to easily interpret the free parameters. The idea is presented based on the BF-C2DL-HSC dataset from the Cell Tracking Challenge. We show our method reaches state-of-the-art performance when evaluating both technical and biological tracking measures.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info