CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking

arXiv:2608.17884 · cs.CV · Submitted 2026-08-18 · Read on arXiv

cs.CV

Submitted: 2026-08-18

Updated: 2026-08-18

Code: https://github.com/AurelienCD/CFB-GBM

Terminology

• nnU-Net — 5× in this paper · explained in 2 episodes
• Average Symmetric Surface Distance — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cancer Imaging Archive — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Dice Similarity Coefficient — 1× in this paper
• Disease Progression Modelling — 1× in this paper
• Gross Tumour Volume — 1× in this paper
• Magnetic Resonance Imaging — 1× in this paper
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Partial Response — 1× in this paper
• Progressive Disease — 1× in this paper
• Response Assessment in Neuro-Oncology — 1× in this paper
• World Health Organization — 1× in this paper

Sources

• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

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