Image-based Simulations of Tubular Network Formation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00114090" target="_blank" >RIV/00216224:14330/20:00114090 - isvavai.cz</a>
Result on the web
<a href="http://2020.biomedicalimaging.org/" target="_blank" >http://2020.biomedicalimaging.org/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI45749.2020.9098736" target="_blank" >10.1109/ISBI45749.2020.9098736</a>
Alternative languages
Result language
angličtina
Original language name
Image-based Simulations of Tubular Network Formation
Original language description
The image-based simulations in biomedicine play an important role as the real image data are difficult to be fully and precisely annotated. An increasing capability of contemporary computers allows to model and simulate reasonably complicated structures and in the last years also the dynamic processes. In this paper, we introduce a complex 3D model that describes the structure and dynamics of the population of endothelial cells. The model is based on standard cellular Potts model. It describes the formation process of a complex tubular network of endothelial cells fully in 3D together with the simulation of the cell death called apoptosis. The generated network imitates the structure and behavior that can be observed in real phase-contrast microscopy. The generated image data may serve as a benchmark dataset for newly designed detection or tracking algorithms.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th IEEE International Symposium on Biomedical Imaging
ISBN
9781538693308
ISSN
1945-7928
e-ISSN
—
Number of pages
5
Pages from-to
1608-1612
Publisher name
IEEE
Place of publication
Neuveden
Event location
Iowa City, Iowa, USA
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000578080300336