Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit

Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit

The detection of Diabetic Retinopathy (DR) is an emergent research topic in recent decades, where DR is a primary cause of vision loss in humans. The existing techniques have limitations such as neuron death issues, vanishing gradient, and output offset. To overcome these issues, this paper propose...

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Bibliographic Details
Main Authors: Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2025-01-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Area Under Curve
Convolutional Neural Network
Coordinate Attention Module
LeakyLeaky Rectified Linear Unit, Rectified Linear Unit,
Mayfly Optimization Algorithm
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3194
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