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@inproceedings{2385779,
author = {Lux, Filip and Matula, Petr},
address = {Athens},
booktitle = {Athens, Greece, IEEE 21th International Symposium on Biomedical Imaging},
language = {eng},
location = {Athens},
publisher = {IEEE 21th International Symposium on Biomedical Imaging},
title = {Cell Tracking based on Integer Linear Programming and Probability Scores},
year = {2024}
}
TY - JOUR
ID - 2385779
AU - Lux, Filip - Matula, Petr
PY - 2024
TI - Cell Tracking based on Integer Linear Programming and Probability Scores
PB - IEEE 21th International Symposium on Biomedical Imaging
CY - Athens
N2 - 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.
ER -
LUX, Filip and Petr MATULA. Cell Tracking based on Integer Linear Programming and Probability Scores. In \textit{Athens, Greece, IEEE 21th International Symposium on Biomedical Imaging}. Athens: IEEE 21th International Symposium on Biomedical Imaging, 2024, 5 pp. ISSN~1945-7928.
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