Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study

arXiv:2609.37848 · cs.CV, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Calibration — 29× in this paper · explained in 7 episodes
• Accuracy — 28× in this paper · explained in 1 episode
• Benchmark — 20× in this paper · explained in 2 episodes
• AUC — 8× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 3× in this paper
• Distribution Shift — 3× in this paper · explained in 5 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

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

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