A Hybrid DL Architecture for Improved Generalizability with Self-Adaptive Jaya Optimizer for Diabetic Retinopathy

Anomalies such as microaneurysms, exudates, and hemorrhages are diagnosed by retinal vessel segmentation to identify different phases of Diabetic Retinopathy (DR); several typical ways to detect Hard Exudates (HE) in retinal images have been used to determine the severity of diabetes. This work prop...

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Vydané v:	Procedia computer science Ročník 235; s. 2090 - 2100
Hlavní autori:	Rawat, Akhilesh, Kumar, Rajeev
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2024
Predmet:	Convolutional Neural Network Deep Learning Diabetic Retinopathy Generalization Hard Exudates Jaya Optimization Algorithm Nature-Inspired Algorithms Convolutional Neural Network Hard Exudates Jaya Optimization Algorithm Nature-Inspired Algorithms Generalization Deep Learning Diabetic Retinopathy
ISSN:	1877-0509, 1877-0509
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