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Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8c3c8cacc4d41c78db5c9e6956ca8f6

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

About this item

Full title

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5283

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula, which causes fluid accumulation in the macula. Efficient screening systems require experts to manually analyze images to recognize diseases. However, due to the challenging na...

Alternative Titles

Full title

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c8c3c8cacc4d41c78db5c9e6956ca8f6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8c3c8cacc4d41c78db5c9e6956ca8f6

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21165283

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