R. Krohling

The Impact of Bias Mitigation on Fairness and Accuracy in Automated Skin Lesion Classification

To the best of our knowledge, existing benchmarks for bias mitigation in skin cancer classification focus exclusively on image-based, leaving a gap in the tabular-multimodal setting, where image-derived probabilities are combined with structured clinical data. To address this gap, this paper proposes an experimental...