Deep Learning-Based Synthetic Skin Lesion Image Classification.

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Bibliographic Details
Title: Deep Learning-Based Synthetic Skin Lesion Image Classification.
Authors: Abbasi SF; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Bilal M; Department of Artificial Intelligence, Rare Sense Inc, Covina, California, USA., Mukherjee T; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Churm J; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Pournik O; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom., Epiphaniou G; WMG, University of Warwick, Coventry CV4 7AL, United Kingdom., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1145-1150.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI240612