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    <responseDate>2026-10-12T04:24:33Z</responseDate>
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    <identifier>10.57760/sciencedb.29859</identifier>
    <datestamp>2026-03-16T15:50:50Z</datestamp>
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  <dc:date>2026-03-16</dc:date>
  <dc:title>Artificial Intelligence Model Code for Skin Warts</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.29859</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the complete code used to construct an artificial intelligence diagnostic model for cutaneous warts. The code is based on deep learning image classification methods and performs training and prediction on images of cutaneous warts and non-wart skin lesions to achieve automatic identification and classification of plantar warts and other similar skin conditions. The code is implemented using the Python deep learning framework and primarily utilizes PyTorch for model training and inference.</dc:description>
  <dc:subject>Artificial Intelligence; Image Classification; Skin Wart</dc:subject>
  <dc:creator>XiaoJuan YANG</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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