Exploiting mutual explanations for interactive learning is presented as part of an
interdisciplinary research project on transparent machine learning for medical decision
support. Focus of the project is to combine deep learning black box approaches with
interpretable machine learning for classification of different types of medical images to
combine the predictive accuracy of deep learning and the transparency and
comprehensibility of interpretable models. Specifically, we present an extension of the …