Adding explanation supervision to training improves spatial alignment of saliency maps with clinical annotations on chest X-rays while keeping predictive accuracy comparable.
Right for the right rea- sons: Training differentiable models by constraining their explanations
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Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging
Adding explanation supervision to training improves spatial alignment of saliency maps with clinical annotations on chest X-rays while keeping predictive accuracy comparable.