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Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Image...

Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Image...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68686840b2854248a7962f625dea742d

Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images

About this item

Full title

Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images

Publisher

Basel: MDPI AG

Journal title

Computation, 2024-09, Vol.12 (9), p.190

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Eye diseases are defined as disorders or diseases that damage the tissue and related parts of the eyes. They appear in various types and can be either minor, meaning that they do not last long, or permanent blindness. Cataracts, glaucoma, and diabetic retinopathy are all eye illnesses that can cause vision loss if not discovered and treated early o...

Alternative Titles

Full title

Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_68686840b2854248a7962f625dea742d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68686840b2854248a7962f625dea742d

Other Identifiers

ISSN

2079-3197

E-ISSN

2079-3197

DOI

10.3390/computation12090190

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