COMPYDA: An online tool for verifying the similarity of image datasets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135497" target="_blank" >RIV/00216224:14330/24:00135497 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10635415" target="_blank" >https://ieeexplore.ieee.org/document/10635415</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI56570.2024.10635415" target="_blank" >10.1109/ISBI56570.2024.10635415</a>

Result language
angličtina
Original language name
COMPYDA: An online tool for verifying the similarity of image datasets
Original language description
Nowadays, when the vast majority of biomedical research relies on machine learning methods, paying attention to the meaningfulness of the data we work with is crucial. This is especially true if the dataset is scarce and we are required to use various augmentation techniques to enlarge training sets. The additional data are, however, not guaranteed to have the same characteristics as the original data, and therefore, the augmented set may be inconsistent. This can subsequently lead to incorrect training of biomedical image analysis methods, which may result in biased classification, detection, segmentation, or tracking results. In this paper, we present an online tool called COMPYDA, that allows users to easily assess the similarity of a pair of datasets using well-founded, commonly used statistic methods. COMPYDA guides users through univariate and multivariate analyses and helps them understand and explain dataset differences to ascertain a compatible dataset for further training. The tool is available at: https://cbia.fi.muni.cz/compyda/
Czech name
—
Czech description
—

Project
<a href="/en/project/EF18_046%2F0016045" target="_blank" >EF18_046/0016045: Modernization of the National Infrastructure for Biological and Medical Imaging Czech-BioImaging</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 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
Athens
Event date
Jan 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001305705101140

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