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Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispec...

Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispec...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5fb5d39f3ed64a3a84ee95ea847b5ba5

Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis

About this item

Full title

Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2025-02, Vol.15 (3), p.355

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

An estimated 60,000 people die annually from skin cancer, predominantly melanoma. The diagnosis of skin lesions primarily relies on visual inspection, but around half of lesions pose diagnostic challenges, often necessitating a biopsy. Non-invasive detection methods like Computer-Aided Diagnosis (CAD) using Deep Learning (DL) are becoming more prom...

Alternative Titles

Full title

Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5fb5d39f3ed64a3a84ee95ea847b5ba5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5fb5d39f3ed64a3a84ee95ea847b5ba5

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics15030355

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