Multiparametric-MRI habitat radiomics analysis for discriminating pathological types of brain metastases
This study demonstrates that while habitat radiomics shows potential for classifying BMs, its current performance is constrained by class imbalance and scanner heterogeneity. Consequently, our primary contribution lies in providing a critical baseline and a clear direction, prioritizing data-centric solutions as the essential next step for the field.
Authors
- Bo Zhang (ORCID: https://orcid.org/0000-0002-4865-0665)
- Jianfeng Deng (ORCID: https://orcid.org/0009-0008-8550-1491)
- Ruizhe Xu
- Jinling Zhu
- Ye Tian (ORCID: https://orcid.org/0000-0002-9111-9757)
- Li Zou
- Wu Cai (ORCID: https://orcid.org/0000-0002-6800-4177)
- Xin Xie
Institutions
- Soochow University (CN)
- Second Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-02
- DOI
- https://doi.org/10.3389/fonc.2025.1714315
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Soochow University