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ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
This work presents ExAID (Explainable AI for Dermatology), a novel framework for biomedical image analysis, providing multi-modal concept-based explanations consisting of easy-to-understand textual explanations supplemented by visual maps justifying the predictions.
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
This work aims at elucidating a deep learning based medical image classifier by verifying that the model learns and utilizes similar disease-related concepts as described and employed by dermatologists.
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