Identification of Suitable Machine Learning or Deep Learning Algorithmfor Diabetic Retinopathy Detection
Author:
Affiliation:
1. B.M.S. College of Engineering,Department of Medical Electronics Engineering,Bengaluru,India
2. Dhofar University,Department of Electrical & Computer Engineering,Oman
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199115/10199221/10200453.pdf?arnumber=10200453
Reference20 articles.
1. Diabetic Retinopathy Detection using Machine Learning
2. Application of Logistic Regression Methods to Retinal Damage Detection on Digital Fundus Images
3. Deep Learning Approaches for Diabetic Retinopathy Detection by Image Classification
4. Automated Diabetic Retinopathy Prediction using Machine Learning Classification Algorithms;rathi;Turkish Journal of Computer and Mathematics Education,2021
5. Machine learning & deep learning algorithm reviews for diabetic retinopathy detection
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1. Detection of Diabetic Retinopathy Using Discrete Wavelet-Based Center-Symmetric Local Binary Pattern and Statistical Features;Journal of Imaging Informatics in Medicine;2024-09-05
2. Segmented Fractal and Central Symmetric LBP Based Texture Features for the Detection of Diabetic Retinopathy Using SVM;SN Computer Science;2024-06-13
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