Biomedical Imaging CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking
Alexandre G. Leclercq, Noémie N. Moreau, H. Audebert et al.
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Open access
Aug 2026
CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking
Glioblastoma (GBM) is the most aggressive primary brain tumor in adults, with a median overall survival of 15 months. Longitudinal, multi-modal imaging datasets with comprehensive clinical and treatment data are essential to support the development of reproducible computational methods for treatment response prediction...
Alexandre G. Leclerq, Noémie N. Moreau, H. Audebert et al.
· Machine Learning for Biomedi... · 0 citations