Study of Shape Fusion Algorithms for 3D Time-Lapse Microscopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00144299" target="_blank" >RIV/00216224:14330/25:00144299 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10980908" target="_blank" >https://ieeexplore.ieee.org/document/10980908</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI60581.2025.10980908" target="_blank" >10.1109/ISBI60581.2025.10980908</a>
Alternative languages
Result language
angličtina
Original language name
Study of Shape Fusion Algorithms for 3D Time-Lapse Microscopy
Original language description
In biomedical image processing, reference data used to benchmark segmentation algorithms are typically obtained by fusing expert annotations. We compare popular fusion algorithms (majority voting, STAPLE, and Robust Bayesian Fusion) and study (1) how their results depend on the variability of input annotations and (2) how well they preserve shapes w.r.t, biologically relevant measures (BRM) such as volume and average roundness. We also study (3) the correlation between BRM and measures common in image processing (namely, Jaccard index and Hausdorff distance). For our experiments, we created 3D time-lapse segmentation annotations of migrating cells with complex dynamic shapes (Fluo-C3DL-MDA231 dataset from the Cell Tracking Challenge). The full annotations are publicly available. The study found that none of the selected methods produced satisfactory results w.r.t. BRM, highlighting the need for new methods.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GA21-20374S" target="_blank" >GA21-20374S: Segmentation and tracking of cells with complex shapes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - International Symposium on Biomedical Imaging
ISBN
9798331520526
ISSN
1945-7928
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE Computer Society
Place of publication
ISBI 2025
Event location
Houston, TX, USA
Event date
Apr 14, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001546451000235