Leveraging Convolutional Neural Networks for Automated Detection and Grading of Diabetic Retinopathy from Fundus Images

Leveraging Convolutional Neural Networks for Automated Detection and Grading of Diabetic Retinopathy from Fundus Images

This study addresses the critical challenge of Diabetic Retinopathy (DR) detection and severity grading, aiming to advance the field of medical image analysis. The research problem focuses on the need for an accurate and efficient model to discern DR conditions, thereby facilitating early diagnosis...

Full description

Bibliographic Details
Main Authors: Ibnu Uzail Yamani, Basari Basari
Format: Article
Language:Indonesian
Published: Universitas Negeri Semarang 2024-03-01
Series:Jurnal Teknik Elektro
Subjects:
aptos 2019
convolutional neural network
deep learning
diabetic retinopathy
early diagnosis
fundus image
Online Access:https://journal.unnes.ac.id/nju/jte/article/view/48769

Similar Items

Similar Items