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Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3a1c08a94ffe45e9a2db6721b8f5cb7c

Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

About this item

Full title

Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2023-04, Vol.11 (9), p.2008

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Diabetic retinopathy seems to be the cause of micro-vascular retinal alterations. It remains a leading reason for blindness and vision loss in adults around the age of 20 to 74. Screening for this disease has become vital in identifying referable cases that require complete ophthalmic evaluation and treatment to avoid permanent loss of vision. The...

Alternative Titles

Full title

Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3a1c08a94ffe45e9a2db6721b8f5cb7c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3a1c08a94ffe45e9a2db6721b8f5cb7c

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math11092008

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