AI Framework for Detection of Hypertensive Retinopathy from Fundus Images

Hypertensive retinopathy is a condition brought about by well established hypertension that influences the veins in the retina. It is a typical complexity of hypertension and can prompt vision misfortune whenever left untreated. The severity of hypertensive retinopathy varies depending on the degree...

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Bibliographic Details
Main Authors: Pandey, Mrinal, Arora, Mamta, Sinha, Manya, Solanki, Shivank, Batra, Sudeep, Tewatia, Abhishek
Format: Conference Proceeding
Language:English
Subjects:
blood pressure
blurred vision
Complexity theory
Deep learning
Diseases
fundus images
Hypertension
machine learning
Retina
Retinopathy
Online Access:Request full text
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Summary:Hypertensive retinopathy is a condition brought about by well established hypertension that influences the veins in the retina. It is a typical complexity of hypertension and can prompt vision misfortune whenever left untreated. The severity of hypertensive retinopathy varies depending on the degree and duration of hypertension. This paper addressed and evaluated the various recent state of-the-art methodologies that have been used for detection and classification of Hypertensive Retinopathy disease using machine learning and deep learning approaches in the past decade. Furthermore, in this study we preprocessed a dataset of 1000+ images mechanically and manually and applied models like Inception V3, Resnet, CNN and Alexnet. Finally, we conclude with comparison of all the results obtained and optimize the data further including with the future scope of our study
ISSN:2687-7767
DOI:10.1109/UPCON59197.2023.10434678