A SMOTE-Enhanced Hybrid VGG16–ResNet-50 Model for Automated Diabetic Retinopathy Detection

Diabetic Retinopathy (DR) occupies the top space among the preventable causes of vision loss across the globe with people who are diabetic presenting a higher number of victims. It suggests a hybrid deep learning network that consists of the VGG16 and ResNet-50 architecture to improve classificatio...

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Detaylı Bibliyografya
Asıl Yazarlar:	Muhammad Faris, Shahzaib Khalid, Muhammad Dilawar Khan, Mir Farooq Ali, Muhammad Mansoor Mughal, Tariq Javid
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Allied Medical Research Journal Private Limited 2025-07-01
Seri Bilgileri:	Allied Medical Research Journal
Konular:	Diabetic Retinopathy Deep Learning Hybrid Model Fundus Image Classification Quantization-aware Training
Online Erişim:	https://ojs.amrj.net/index.php/1/article/view/381
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A SMOTE-Enhanced Hybrid VGG16–ResNet-50 Model for Automated Diabetic Retinopathy Detection

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