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Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d7dd48d8571407a9121afd925b72cef

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

About this item

Full title

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

Publisher

Hoboken: Hindawi

Journal title

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Hoboken: Hindawi

More information

Scope and Contents

Contents

Due to the successful application of machine learning techniques in several fields, automated diagnosis system in healthcare has been increasing at a high rate. The aim of the study is to propose an automated skin cancer diagnosis and triaging model and to explore the impact of integrating the clinical features in the diagnosis and enhance the outc...

Alternative Titles

Full title

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3d7dd48d8571407a9121afd925b72cef

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d7dd48d8571407a9121afd925b72cef

Other Identifiers

ISSN

1076-2787

E-ISSN

1099-0526

DOI

10.1155/2021/5591614

How to access this item