Hybrid Fuzzy Assisted RNN Algorithm for Diabetic Retinopathy Identification-Reference-Cited by-同舟云学术

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Hybrid Fuzzy Assisted RNN Algorithm for Diabetic Retinopathy Identification

Published:2023-12-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE)
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Author:

Sivaprakash P.¹,Jerith G. Gifta²,Packiaraj H.²,Manikandan R. A.²,Kumar T. Thanish²,Ashok S.²

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Tamilnadu,India

2. Malla Reddy University,School of Engineering,Department of Artificial Intelligence & Machine Learning,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433897/10433900/10433952.pdf?arnumber=10433952

Reference15 articles.

1. An Attention-Based Swin U-Net-Based Segmentation and Hybrid Deep Learning Based Diabetic Retinopathy Classification Framework Using Fundus Images

2. Artificial Humming Bird Optimization–Based Hybrid CNN-RNN for Accurate Exudate Classification from Fundus Images

3. Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection

4. Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods

5. Diabetic Retinopathy Detection Using Genetic Algorithm-Based CNN Features and Error Correction Output Code SVM Framework Classification Model

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