Exudate Regeneration for Automated Exudate Detection in Retinal Fundus Images

Exudate Regeneration for Automated Exudate Detection in Retinal Fundus Images

This paper presents a framework for the automated detection of Exudates, an early sign of Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition (CES) mechanism for enabling the generation of representative exudate samples based on limited open-source samples. The pap...

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Bibliographic Details
Main Authors: Muhammad Hussain, Hussain Al-Aqrabi, Muhammad Munawar, Richard Hill, Simon Parkinson
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Exudates detection
self-labelling
convolutional networks
data fusion
Online Access:https://ieeexplore.ieee.org/document/9885192/

Internet

https://ieeexplore.ieee.org/document/9885192/

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