Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images

Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images

Diabetic Retinopathy (DR) is one of the leading causes of blindness worldwide, where early detection is critical to preventing irreversible vision loss. Traditional diagnostic methods primarily rely on single-modality data, such as retinal images, or the analysis of image features, which may limit d...

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Bibliographic Details
Main Authors: Amina Zedadra, Ouarda Zedadra, Mahmoud Yassine Salah-Salah, Antonio Guerrieri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Classification
convolutional neural network (CNN)
diabetes
diabetic retinopathy (DR)
graph neural network (GNN)
Online Access:https://ieeexplore.ieee.org/document/10976726/
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