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A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8d1c82cb1ff4b0b832d4ec3963ee72e

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

About this item

Full title

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2020-03, Vol.21 (S2), p.91-91, Article 91

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Screening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed an automatic binary model for discriminating tissue in digital mammograms, as support tool for the radiologists...

Alternative Titles

Full title

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c8d1c82cb1ff4b0b832d4ec3963ee72e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8d1c82cb1ff4b0b832d4ec3963ee72e

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-020-3358-4

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