A pixel-level argmax over per-class Grad-CAM maps, combined with a selective predictor, is proposed to detect unreliable skin lesion classifications.
In: International symposium on model-based safety and assessment
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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML
A pixel-level argmax over per-class Grad-CAM maps, combined with a selective predictor, is proposed to detect unreliable skin lesion classifications.