AI RESEARCH
Methodology for Creating a Clinically Verified Dermoscopic Image Dataset
arXiv CS.AI
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ArXi:2605.25168v1 Announce Type: cross This study presents a methodology for constructing a clinically verified dataset of dermatoscopic images for medical informatics research. The relevance of the work is driven by the fact that the performance of automated diagnostic systems depends not only on the volume of images, but also on the reproducibility of the image acquisition procedure, the completeness of structured metadata, and the reliability of diagnostic labels.