D 2024

Cell Tracking based on Integer Linear Programming and Probability Scores

LUX, Filip and Petr MATULA

Basic information

Original name

Cell Tracking based on Integer Linear Programming and Probability Scores

Authors

LUX, Filip and Petr MATULA

Edition

Athens, Athens, Greece, IEEE 21th International Symposium on Biomedical Imaging, p. 1-5, 5 pp. 2024

Publisher

IEEE 21th International Symposium on Biomedical Imaging

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

Faculty of Informatics

ISBN

979-8-3503-1334-5

ISSN

UT WoS

bez WOS

Tags

Tags

International impact, Reviewed
Změněno: 5/9/2024 09:40, RNDr. Filip Lux

Abstract

V originále

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.

Links

GA21-20374S, research and development project
Name: Segmentace a sledování buněk se složitým tvarem
Investor: Czech Science Foundation
LM2023050, research and development project
Name: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR, Czech BioImaging: National research infrastructure for biological and medical imaging
MUNI/A/1592/2023, interní kód MU
Name: Modelování, analýza a verifikace (2024)
Investor: Masaryk University, Modeling, analysis, and verification (2024)