The radiomics fingerprint of cartilage tumours: radiomics-based MRI differentiation of enchondroma and atypical cartilaginous tumour
Our results indicate that the combination of MRI-based radiomics and machine learning algorithms, particularly XGBoost, offers a non-invasive and highly accurate method for distinguishing enchondroma from ACT.
Authors
- Halitcan Batur (ORCID: https://orcid.org/0000-0002-4743-7926)
- Bökebatur Ahmet Raşit Mendi (ORCID: https://orcid.org/0000-0002-6102-2188)
- Nurdan Çay
Institutions
- Çankaya University (TR)
- Ankara University (TR)
- Falun Hospital (SE)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1007/s11604-026-01946-2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00