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Multiscale ensemble of convolutional neural networks for skin lesion classification

Multiscale ensemble of convolutional neural networks for skin lesion classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf02fc48edb24cbfa19f7377100fef82

Multiscale ensemble of convolutional neural networks for skin lesion classification

About this item

Full title

Multiscale ensemble of convolutional neural networks for skin lesion classification

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2021-08, Vol.15 (10), p.2309-2318

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Early detection and treatment of skin cancer can considerably reduce the patient mortality rates. Convolutional neural network (CNN) has been widely applied in the field of computer aided diagnosis. However, for skin lesions, the inconsistent size of lesion regions in dermatoscope images hinders the convolutional neural network precise discriminati...

Alternative Titles

Full title

Multiscale ensemble of convolutional neural networks for skin lesion classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cf02fc48edb24cbfa19f7377100fef82

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf02fc48edb24cbfa19f7377100fef82

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12214

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