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Retinal fundus image super-resolution based on generative adversarial network guided with vascular s...

Retinal fundus image super-resolution based on generative adversarial network guided with vascular s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f26e84de8f943bf84636705ce2fd2b1

Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior

About this item

Full title

Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-10, Vol.14 (1), p.22786-13, Article 22786

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Many ophthalmic and systemic diseases can be screened by analyzing retinal fundus images. The clarity and resolution of retinal fundus images directly determine the effectiveness of clinical diagnosis. Deep learning methods based on generative adversarial networks are used in various research fields due to their powerful generative capabilities, es...

Alternative Titles

Full title

Retinal fundus image super-resolution based on generative adversarial network guided with vascular structure prior

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2f26e84de8f943bf84636705ce2fd2b1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f26e84de8f943bf84636705ce2fd2b1

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-74186-x

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