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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Bibliografiset tiedot
Päätekijät: Mohamed M. Farag, Mariam Fouad, Amr T. Abdel-Hamid
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2022-01-01
Sarja:IEEE Access
Aiheet:
Diabetic retinopathy
convolutional neural networks (CNN)
attention mechanism
deep learning
Linkit:https://ieeexplore.ieee.org/document/9750054/
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