Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107168" target="_blank" >RIV/00216224:14330/19:00107168 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-11024-6_28.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-11024-6_28.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-11024-6_28" target="_blank" >10.1007/978-3-030-11024-6_28</a>
Alternative languages
Result language
angličtina
Original language name
Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data
Original language description
The simulations in biomedical image analysis provide a solution when the real image data are difficult to be annotated or if they are available only in small quantities. The progress in simulations rapidly grows in the recent years. Nevertheless, the comparative techniques for the assessment of the plausibility of generated data are still unsatisfactory or none. This paper aims to point out the problem of insufficient comparison of real and synthetic data, which is done in many cases only by visual inspection or based on subjective measurements. The selected texture features are first compared in a univariate manner by quantile-quantile plots and Kolmogorov-Smirnov test. The evaluation is then extended into multivariate assessment using the PCA for a visualization and furthermore for a quantitative measure of similarity by Jaccard index. Two different image datasets were used to show the results and the importance of the validation of simulated data in many aspects.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05048S" target="_blank" >GA17-05048S: Multi-modal live cell image segmentation and tracking</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision – ECCV 2018 Workshops
ISBN
9783030110239
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
385-394
Publisher name
Springer
Place of publication
Munich, Germany
Event location
Mnichov
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000594200000028