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Abstract Accurate lesion segmentation in dermoscopy images is critical for high-throughput clinical screening, yet deploying automated diagnostic systems is severely hindered by the prohibitive computational cost of massive foundation models and the manual bottleneck of acquiring dense annotations.
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