Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networks

arXiv:2507.16761 · cs.CV, cs.LG · Submitted 2025-07-22 · Read on arXiv

cs.CV, cs.LG

Submitted: 2025-07-22

Updated: 2026-09-21

Code: https://github.com/B-cos/B-cos-v2

Terminology

• Interpretability — 25× in this paper · explained in 15 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Energy-Based Pointing Game — 10× in this paper
• AUC — 8× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Adam — 5× in this paper · explained in 2 episodes
• Data Augmentation — 4× in this paper · explained in 7 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Ensemble Approach — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Explaining Explanations: An Overview of Interpretability of Machine Learning
• Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
• Deep Residual Learning for Image Recognition
• Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
• PadChest: A large chest x-ray image dataset with multi-label annotated reports
• B-cos Networks: Alignment is All We Need for Interpretability
• A ConvNet for the 2020s
• Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
• Exploring large scale public medical image datasets
• PyTorch: An Imperative Style, High-Performance Deep Learning Library
• CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
• Densely Connected Convolutional Networks
• ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
• Early Convolutions Help Transformers See Better
• Making Convolutional Networks Shift-Invariant Again
• A Comprehensive Survey on Transfer Learning
• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

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