Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad-CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification

Ocular Disease Detection Using Fundus Images: A Hybrid Approach of Grad-CAM and Multiscale Retinex Preprocessing With VGG16 Deep Features and Fine KNN Classification

The emergence of deep learning has markedly enhanced the identification and diagnosis of ocular diseases, providing considerable benefits compared to conventional machine learning techniques. This research investigates the application of deep feature extraction for classifying eight different ocular...

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Bibliographic Details
Main Authors: Shreemat Kumar Dash, Kante Satyanarayana, Santi Kumari Behera, Sudarson Jena, Ashoka Kumar Ratha, Prabira Kumar Sethy, Aziz Nanthaamornphong
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/acis/6653543
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