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Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optim...

Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optim...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_60f0919f4f824d0badad1f74e7f30208

Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm

About this item

Full title

Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2022-02, Vol.12 (2), p.557

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Breast cancer has affected many women worldwide. To perform detection and classification of breast cancer many computer-aided diagnosis (CAD) systems have been established because the inspection of the mammogram images by the radiologist is a difficult and time taken task. To early diagnose the disease and provide better treatment lot of CAD system...

Alternative Titles

Full title

Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_60f0919f4f824d0badad1f74e7f30208

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_60f0919f4f824d0badad1f74e7f30208

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics12020557

How to access this item