Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study

arXiv:2508.16650 · eess.IV, cs.CV, q-bio.QM · Submitted 2025-08-19 · Read on arXiv

eess.IV, cs.CV, q-bio.QM

Submitted: 2025-08-19

Updated: 2026-06-23

Code: https://github.com/jamesruffle/enhancement_segmenter

Terminology

• Accuracy — 34× in this paper · explained in 1 episode
• nnU-Net — 29× in this paper · explained in 2 episodes
• Fidelity — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Generalizability — 4× in this paper · explained in 6 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• National Hospital for Neurology and Neurosurgery — 3× in this paper
• Benchmarking — 2× in this paper · explained in 4 episodes
• Core — 2× in this paper · explained in 2 episodes
• Erasmus Glioma Database — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• European Institute for Biomedical Imaging Research — 1× in this paper
• Federated Learning — 1× in this paper · explained in 15 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• 3D MRI brain tumor segmentation using autoencoder regularization
• Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
• Fairboard: a quantitative framework for equity assessment of healthcare models
• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
• BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
• The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
• The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
• The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study
• nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

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