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Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_008a4bc3d5fc478399a93da6a8dc4ee1

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

About this item

Full title

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5393

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathological procedures, and the response and evaluation of therapeutic effectiveness in various fields of clinical...

Alternative Titles

Full title

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_008a4bc3d5fc478399a93da6a8dc4ee1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_008a4bc3d5fc478399a93da6a8dc4ee1

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23125393

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