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Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
April 16, 2024, 4:48 a.m. | Luisa Gall\'ee, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael G\"otz
cs.CV updates on arXiv.org arxiv.org
Abstract: Due to the sensitive nature of medicine, it is particularly important and highly demanded that AI methods are explainable. This need has been recognised and there is great research interest in xAI solutions with medical applications. However, there is a lack of user-centred evaluation regarding the actual impact of the explanations. We evaluate attribute- and prototype-based explanations with the Proto-Caps model. This xAI model reasons the target classification with human-defined visual features of the target …
abstract applications arxiv classification classification model cs.cv explainability however medical medicine nature research solutions type xai
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