An Efficient DenseNet for Diabetic Retinopathy Screening

An Efficient DenseNet for Diabetic Retinopathy Screening

This study aims to propose a novel deep learning framework, i.e., efficient DenseNet, for identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an eye condition that damages blood vessels in the retina. Detecting diabetic retinopathy at the early stage can avoi...

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Bibliographic Details
Main Authors: Sheena Christabel Pravin, Sindhu Priya Kanaga Sabapathy, Suganthi Selvakumar, Saranya Jayaraman, Selvakumar Varadharajan Subramani
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-04-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
deep learning
diabetic retinopathy
efficient DenseNet
pre-processing
classification accuracy
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/10045

Internet

https://ojs.imeti.org/index.php/IJETI/article/view/10045

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