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Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networks
Faithfulness and interpretability are essential for deploying deep neural networks (DNNs) in safety-critical domains such as medical image analysis. B-cos networks modify the parameterization of convolutional and classification layers to measure class evidence via feature-weight alignment, enabling
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