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

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 therap...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 23; číslo 12; s. 5393
Hlavní autoři:	Hassan, Esraa, Elmougy, Samir, Ibraheem, Mai R., Hossain, M. Shamim, AlMutib, Khalid, Ghoneim, Ahmed, AlQahtani, Salman A., Talaat, Fatma M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.06.2023 MDPI
Témata:	Accuracy Algorithms artificial intelligence Biometrics Blood vessels Classification Datasets Decision trees Deep Learning Diabetes Diagnosis Eye diseases Health aspects Intraocular lenses Macular degeneration Myopia Neural Networks, Computer optical coherence tomography (OCT) optical sensor technologies Predictive Value of Tests Retina Retina - diagnostic imaging Sensors Signal processing Surgery Tomography Tomography, Optical Coherence - methods Type 2 diabetes Visual impairment Saudi Arabia deep learning optical sensor technologies artificial intelligence optical coherence tomography (OCT)
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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