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Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.
Adversarial explanation increased the explainability over GradCAM, a conventional heatmap-based explanation method. Adversarial explanation may help medical professionals understand more clearly the rationale of DLMs when using them for clinical decisions.