The paper approaches the comparison of features of melanoma identified by dermatologists on the basis of images with features classified by Convolutional Neural Networks (CNNs). XAI features (explainable AI), so-called saliency maps, are a result of the classification. They serve the purpose of checking if the dermatologist's opinion is in accordance with the opinion of the Machine Learning System and if a possible discrepancy can be explained visually. Our publication is the first one to examine this question systematically with different neural networks on the basis of a specific medical use case.
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