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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00136232" target="_blank" >RIV/00216224:14330/24:00136232 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ISBI56570.2024.10635415" target="_blank" >http://dx.doi.org/10.1109/ISBI56570.2024.10635415</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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. We present an online tool called COMPYDA (COMPare Your DAta), 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/

Název v anglickém jazyce

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

Popis výsledku anglicky

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. We present an online tool called COMPYDA (COMPare Your DAta), 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/

Druh

R - Software

CEP obor

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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/EF18_046%2F0016045" target="_blank" >EF18_046/0016045: Modernizace národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

COMPYDA 1.0

Technické parametry

Veřejně dostupný open-source software vydaný pod GNU General Public License

Ekonomické parametry

Veřejně dostupný neziskový open-source software pro výzkum

IČO vlastníka výsledku

00216224

Název vlastníka

Masarykova univerzita