Artificial Intelligence for Skin Cancer Detection: Scoping Review
Artificial Intelligence for Skin Cancer Detection: Scoping Review
About this item
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Author / Creator
Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
Journal title
Language
English
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Publication information
Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
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Scope and Contents
Contents
Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning-based methodologies that are trained to detect and...
Alternative Titles
Full title
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3df147bfc67e4707ace4f2055abc69cf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3df147bfc67e4707ace4f2055abc69cf
Other Identifiers
ISSN
1438-8871,1439-4456
E-ISSN
1438-8871
DOI
10.2196/22934