A Synergistic Stacked Ensemble Deep Learning Model for Predicting Diabetic Retinopathy Severity

Diabetic retinopathy is a leading cause of vision loss worldwide. Early and accurate diagnosis can prevent vision loss, and automatic grading is particularly important to assist physicians in making timely decisions. This work proposes an efficient stacked ensemble framework for the DR severity clas...

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Bibliografische Detailangaben

Hauptverfasser:	Deva Kumar Salluri, Maanas Sai Surya Chandra Atthuluri, Venkatramaphanikumar Sistla, Venkata Krishna Kishore Kolli
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Diabetic retinopathy grading stacked ensemble deep learning convolutional neural networks transformer networks
Online-Zugang:	https://ieeexplore.ieee.org/document/11269782/
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