Radiomics Infrastructure for Breast MRI Research
MammoRadiomics enables standardized radiomics and transparent machine learning for reproducible breast MRI research.
Radiomics and Standardization
Implements radiomic feature extraction pipelines aligned with Image Biomarker Standardisation Initiative (IBSI) guidelines, ensuring consistent feature definitions, controlled preprocessing, and reproducible quantitative analysis across studies and institutions.
Structured Imaging Data Processing
Supports standardized analysis of breast MRI data within defined tumor regions using validated preprocessing workflows. All processing steps, feature configurations, and analysis parameters are explicitly defined and documented.
Transparent Machine Learning Integration
Enables development and application of predictive models using radiomic features within a controlled research framework. Model architectures, training procedures, and evaluation metrics are documented to support transparency and reproducibility.
Traceability and Reproducible Research
Maintains complete analytical traceability by linking each result to its underlying preprocessing steps, feature extraction settings, software versions, and model parameters, enabling full reproducibility and rigorous scientific validation.
Frequently asked questions
Everything you need to know about us.
MammoRadiomics is a research platform for standardized radiomic feature extraction and predictive modeling using breast MRI data. It supports reproducible imaging biomarker research within academic and clinical research settings.
No. MammoRadiomics is strictly a research platform. It does not provide clinical recommendations or decision support and should not be used for diagnostic or treatment decisions.
The platform is designed for breast MRI data, specifically supporting radiomic feature extraction from tumor segmentations in standard clinical MRI protocols.
Yes. Feature extraction follows the Image Biomarker Standardisation Initiative (IBSI) guidelines, ensuring consistent and reproducible quantitative analysis across studies.
Yes. MammoRadiomics supports the development and evaluation of machine learning models using extracted radiomic features, with full documentation of model architectures and training procedures.
MammoRadiomics is available to academic and clinical researchers through collaboration agreements. Contact us to discuss access and partnership opportunities.
Reach out through our contact page with details about your research interests and institutional affiliation. We welcome collaborations focused on reproducible radiomics research.
Still have questions?
Feel free to contact us to learn more about MammoRadiomics.