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Adaptive Conformal Redistribution for Inter-class Transitional Uncertainty in Medical Image Classification

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

Medical image classification is frequently complicated by transitional categories whose feature distributions overlap those of adjacent classes, producing ambiguous decision boundaries. Conformal prediction returns uncertainty-aware prediction sets, but these are not directly actionable in clinical screening, where a single decision is required. This work proposes adaptive conformal redistribution (AdaConRed), a label-free post-conformal decision rule that converts ambiguous prediction sets into refined class assignments. A five-stage pipeline is developed. Vision-language generative augmentat

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