Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics
Overall, we were able to demonstrate the importance of selecting and standardizing normalization methods for accurate and reliable radiomics analysis in breast MRI scans especially with small training data sets.
Authors
- Jean Abraham (ORCID: https://orcid.org/0000-0003-0688-4807)
- Geevarghese George (ORCID: https://orcid.org/0000-0002-4332-0595)
- Olgica Zaric (ORCID: https://orcid.org/0000-0003-4577-3392)
- Florian Schwarzhans (ORCID: https://orcid.org/0000-0002-1413-4574)
- Sepideh Hatamikia
- Ramona Woitek (ORCID: https://orcid.org/0000-0002-9146-9159)
- Lorena Escudero Sánchez
Institutions
- Danube Private University (AT)
- University of Cambridge (GB)
- Cancer Research UK (GB)
- Cancer Research UK Cambridge Center (GB)
- Austrian Center for Medical Innovation and Technology (AT)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112086
- Citations
- 14
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 19.04