Bio-Volumentations: A Python library for augmentation of volumetric image sequences
Abstrak
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.
Topik & Kata Kunci
Penulis (4)
Lucia Hradecká
Filip Lux
Samuel Šul’an
Petr Matula
Akses Cepat
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- 2025
- Sumber Database
- DOAJ
- DOI
- 10.1016/j.softx.2025.102151
- Akses
- Open Access ✓