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...

Full description

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

Internet

https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3194

Similar Items