Bio-Volumentations: A Python library for augmentation of volumetric image sequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00140987" target="_blank" >RIV/00216224:14330/25:00140987 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.softx.2025.102151" target="_blank" >http://dx.doi.org/10.1016/j.softx.2025.102151</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.softx.2025.102151" target="_blank" >10.1016/j.softx.2025.102151</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bio-Volumentations: A Python library for augmentation of volumetric image sequences

Popis výsledku v původním jazyce

Data augmentation is a widely used technique to increase generalization ability of deep learning models, especially when dealing with sparse training data. It is also crucial in biomedical applications, where annotated images are extremely rare due to high image dimensionality and expensive data acquisition processes. However, existing image augmentation toolboxes are not suitable for biomedical applications: they usually only support low-dimensional images or very few annotation types. To address this issue, we developed Bio-Volumentations-a Python library for transforming multidimensional biomedical images with image- and point-based annotations. Thanks to its universality, user-friendly interface, and independence of deep learning toolboxes, it facilitates efficient data preprocessing and augmentation in various computer vision tasks.

Název v anglickém jazyce

Bio-Volumentations: A Python library for augmentation of volumetric image sequences

Popis výsledku anglicky

Data augmentation is a widely used technique to increase generalization ability of deep learning models, especially when dealing with sparse training data. It is also crucial in biomedical applications, where annotated images are extremely rare due to high image dimensionality and expensive data acquisition processes. However, existing image augmentation toolboxes are not suitable for biomedical applications: they usually only support low-dimensional images or very few annotation types. To address this issue, we developed Bio-Volumentations-a Python library for transforming multidimensional biomedical images with image- and point-based annotations. Thanks to its universality, user-friendly interface, and independence of deep learning toolboxes, it facilitates efficient data preprocessing and augmentation in various computer vision tasks.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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/GA21-20374S" target="_blank" >GA21-20374S: Segmentace a sledování buněk se složitým tvarem</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

SOFTWAREX

ISSN

2352-7110

e-ISSN

2352-7110

Svazek periodika

30

Číslo periodika v rámci svazku

102151

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

1-6

Kód UT WoS článku

001483646900001

EID výsledku v databázi Scopus

2-s2.0-105002139478