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    <identifier>10.57760/sciencedb.23032</identifier>
    <datestamp>2026-06-25T11:06:41Z</datestamp>
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  <dc:date>2026-06-25</dc:date>
  <dc:title>ZCH-MN-Pediatric Dataset for Pediatric Melanocytic Nevus Research</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.23032</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Pediatric MN differs significantly from adult MN, displaying distinctive morphological characteristics such as border irregularity, color heterogeneity, structural asymmetry, and specific dynamic developmental patterns. Although the majority of pediatric MN are benign, their high prevalence and potential risk for malignant transformation necessitate vigilant clinical surveillance. We introduce the ZCH-MN-Pediatric dataset, the first comprehensive, large-scale, open-access dermoscopic image repository dedicated specifically to pediatric MN research. The dataset encompasses 29,317 high-resolution dermoscopic images acquired from 4,529 pediatric patients at The Children's Hospital of Zhejiang University School of Medicine between December 2019 and January 2024. Images span seven anatomical regions, captured from multiple angles to thoroughly document lesion morphology. Alongside these images, extensive clinical metadata&amp;mdash;including anatomical location, patient age, and gender&amp;mdash;are meticulously recorded.</dc:description>
  <dc:subject>Dermoscopy; Pediatric MN; Skin Cancer</dc:subject>
  <dc:creator>Chen Shen</dc:creator>
  <dc:creator>Huiwen Zheng</dc:creator>
  <dc:creator>Jing Li</dc:creator>
  <dc:creator>Shuxin Wang</dc:creator>
  <dc:creator>Xiaoqing Liu</dc:creator>
  <dc:creator>Yunqing Ren</dc:creator>
  <dc:creator>Gang Yu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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