Enhancing diabetic retinopathy and macular edema detection through multi scale feature fusion using deep learning model

This work tackles the growing problem of early identification of diabetic retinopathy and diabetic macular edema. The deep neural network design utilizes multi-scale feature fusion to improve automated diagnostic accuracy. Methods This approach uses convolutional neural networks (CNN) and is designe...

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Veröffentlicht in:	Graefe's archive for clinical and experimental ophthalmology 2024-12
Hauptverfasser:	L, Gowri, R, Haris, M, Sumathi, Raja, S P
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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