Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification

arXiv:2610.00421 · cs.CV, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Benchmark — 39× in this paper · explained in 2 episodes
• Accuracy — 35× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Provenance — 7× in this paper · explained in 4 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Evaluation Dimensions — 3× in this paper · explained in 3 episodes
• Quantization — 3× in this paper · explained in 12 episodes
• External Validation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Very Deep Convolutional Networks for Large-Scale Image Recognition
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Do ImageNet Classifiers Generalize to ImageNet?

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