Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding
Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding
About this item
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Author / Creator
Wang, Zheng , Wang, Chong , Peng, Li , Lin, Kaibin , Xue, Yang , Chen, Xiao , Bao, Linlin , Liu, Chao , Zhang, Jianglin and Xie, Yang
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
This study aims to explore the efficacy of a hybrid deep learning and radiomics approach, supplemented with patient metadata, in the noninvasive dermoscopic imaging-based diagnosis of skin lesions. We analyzed dermoscopic images from the International Skin Imaging Collaboration (ISIC) dataset, spanning 2016–2020, encompassing a variety of skin lesi...
Alternative Titles
Full title
Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_36e1867c433348498848f30ba2f2d73c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_36e1867c433348498848f30ba2f2d73c
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-70231-x
