Enhancing Diabetic Retinopathy Detection with an Innovative ACSE-CLF Algorithm: A Deep Learning Approach
Author:
Affiliation:
1. Sharnbasva University Kalaburagi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10290135/10289705/10290159.pdf?arnumber=10290159
Reference28 articles.
1. Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks;yasashvini;Symmetry,2022
2. Diabetic Retinopathy Detection Using Genetic Algorithm-Based CNN Features and Error Correction Output Code SVM Framework Classification Model
3. Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism;zhuang;Frontiers in Neuroinformatics,2021
4. Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework
5. Automated Diabetic Retinopathy detection and classification using stochastic coordinate descent deep learning architectures;mary;Materials Today Proceedings,2023
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Exploring Machine Learning Models for Predicting Diabetic Retinopathy: A Comprehensive Comparative Study of Logistic Regression an Advanced Technique;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-07
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