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A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity...

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb3a9329bb9743ae8996ee951c0eab90

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: an ensemble learning approach

About this item

Full title

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: an ensemble learning approach

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-10, Vol.13 (1), p.18572-18572, Article 18572

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Diabetes retinopathy (DR) is one of the leading causes of blindness globally. Early detection of this condition is essential for preventing patients' loss of eyesight caused by diabetes mellitus being untreated for an extended period. This paper proposes the design of an augmented bioinspired multidomain feature extraction and selection model for d...

Alternative Titles

Full title

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: an ensemble learning approach

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_eb3a9329bb9743ae8996ee951c0eab90

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb3a9329bb9743ae8996ee951c0eab90

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-45886-7

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