Automatic Severity Classification of Diabetic Retinopathy Based on DenseNet and Convolutional Block Attention Module

Diabetic Retinopathy (DR) - a complication developed due to heightened blood glucose levels- is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is manually acquired by an ophthalmologist, a process that can be considered erroneous and time-consuming. Accordingly, autom...

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Hauptverfasser: Mohamed M. Farag, Mariam Fouad, Amr T. Abdel-Hamid
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2022-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Diabetic retinopathy
convolutional neural networks (CNN)
attention mechanism
deep learning
Online Zugang:https://ieeexplore.ieee.org/document/9750054/
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