Researchers have released CFB-GBM v2.0, an expanded dataset for glioblastoma research, now including complete Gross Tumour Volume (GTV) delineations for 264 patients. This dataset, available on The Cancer Imaging Archive, utilizes a nnU-Net model for segmentation and provides derived volumetric RANO 2.0 response labels. Additionally, it includes pre-computed brain masks and radiomic features to facilitate reproducible computational methods for treatment response prediction and disease progression modeling. AI
IMPACT Enhances AI-driven research in glioblastoma by providing a more complete and usable dataset for model development and validation.
RANK_REASON The cluster describes the release of a new version of a scientific dataset for medical image analysis, including details on its contents and availability.
- Alexandre G. Leclercq
- BraTS 2021
- CFB-GBM v2.0
- glioblastoma
- HD-BET
- nnU-Net
- PyRadiomics
- RANO 2.0
- Stupp protocol
- The Cancer Imaging Archive
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