Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability ; volume:14 ; number:1 ; day:21 ; month:4 ; year:2024 ; pages:1-15 ; date:12.2024
Scientific reports ; 14, Heft 1 (21.4.2024), 1-15, 12.2024

Creator
Zhong, Fan
He, Kaiqiao
Ji, Mengqi
Chen, Jianru
Gao, Tianwen
Li, Shuli
Zhang, Junpeng
Li, Chunying
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-024-59436-2
URN
urn:nbn:de:101:1-2407090844365.767060563873
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:01 AM CEST

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Associated

  • Zhong, Fan
  • He, Kaiqiao
  • Ji, Mengqi
  • Chen, Jianru
  • Gao, Tianwen
  • Li, Shuli
  • Zhang, Junpeng
  • Li, Chunying
  • SpringerLink (Online service)

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