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Skin lesion classification of dermoscopic images using machine learning and convolutional neural net...

Skin lesion classification of dermoscopic images using machine learning and convolutional neural net...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8a03bdcbca64b01888f04f602d5917e

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

About this item

Full title

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-10, Vol.12 (1), p.18134-18134, Article 18134

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Detecting dangerous illnesses connected to the skin organ, particularly malignancy, requires the identification of pigmented skin lesions. Image detection techniques and computer classification capabilities can boost skin cancer detection accuracy. The dataset used for this research work is based on the HAM10000 dataset which consists of 10015 imag...

Alternative Titles

Full title

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f8a03bdcbca64b01888f04f602d5917e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8a03bdcbca64b01888f04f602d5917e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-22644-9

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