Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Visual and Quantitative Comparison of Real and Simulated Biomedical Image Data

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-05048S" target="_blank" >GA17-05048S: Segmentace a trekování živých buněk v multimodálních obrazech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computer Vision – ECCV 2018 Workshops

ISBN

9783030110239

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

385-394

Název nakladatele

Springer

Místo vydání

Munich, Germany

Místo konání akce

Mnichov

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000594200000028