Gravitational Cell Detection and Tracking in Fluorescence Microscopy Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135458" target="_blank" >RIV/00216224:14330/24:00135458 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10635151" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10635151</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI56570.2024.10635151" target="_blank" >10.1109/ISBI56570.2024.10635151</a>
Alternative languages
Result language
angličtina
Original language name
Gravitational Cell Detection and Tracking in Fluorescence Microscopy Data
Original language description
Automatic detection and tracking of cells in microscopy images are major applications of computer vision technologies in both biomedical research and clinical practice. Though machine learning methods are increasingly common in these fields, classical algorithms still offer significant advantages for both tasks, including better explainability, faster computation, lower hardware requirements and more consistent performance. In this paper, we present a novel approach based on gravitational force fields that can compete with, and potentially outperform modern machine learning models when applied to fluorescence microscopy images. This method includes detection, segmentation, and tracking elements, with the results demonstrated on a Cell Tracking Challenge dataset.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
24 IEEE International Symposium on Biomedical Imaging (ISBI)
ISBN
9798350313345
ISSN
1945-7928
e-ISSN
1945-8452
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Athens, Greece
Event location
International Conference Centre - Megaron Athens
Event date
May 27, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001305705100048