PyRadiomics enables reproducible, efficient, and standardized extraction of quantitative features from imaging data, allowing researchers and clinicians to build predictive models, conduct research, and perform advanced image analysis. PyRadiomics provides tools for feature extraction, preprocessing, and analysis, with a focus on flexibility, reliability, and compliance with imaging standards.

Features of PyRadiomics:

Supports extraction of a wide range of radiomics features, including shape, first-order statistics, and texture features.
Optimized for high-performance processing of medical images.
Provides a Python library for embedding feature extraction into research pipelines and applications.
Offers a CLI tool for easy feature extraction from images and associated segmentations without writing code.
Optionally supports exporting features to CSV or other formats for downstream analysis and modeling.
Open-source and actively maintained, widely used in radiomics research, clinical studies, and machine learning applications.

To check the installed PyRadiomics version on Ubuntu 24.04, run these commands in your environment:

 
$ sudo su 
$cd /opt
$source pyradiomics_env/bin/activate
 $ python -c "import radiomics; print(radiomics.__version__)"

Disclaimer: PyRadiomics is released under the Apache-2.0 License and maintained by the open-source community. Users are responsible for correct usage in their specific research or clinical applications. The developers are not responsible for any consequences arising from its use. Always refer to the official PyRadiomics documentation and GitHub repository for the most accurate and up-to-date information.

PyRadiomicsbCloud LLC

PyRadiomics

bCloud LLC

PyRadiomics

bCloud LLC

PyRadiomics
bCloud LLC