A prototype-based RBF classifier built on CNN segment embeddings reports 83.02% on ISIC 2016 and 76.15% on ISIC 2017, with explanations traced to cluster prototypes, but the evaluation is compromised by an undefined segment-to-image aggregation rule and self-cited baselines.
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Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI
A prototype-based RBF classifier built on CNN segment embeddings reports 83.02% on ISIC 2016 and 76.15% on ISIC 2017, with explanations traced to cluster prototypes, but the evaluation is compromised by an undefined segment-to-image aggregation rule and self-cited baselines.