Automatic Detection and Classification of Retinal Disease using Improved Firefly Algorithm-based Gated Recurrent Unit-Reference-Cited by-同舟云学术

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Automatic Detection and Classification of Retinal Disease using Improved Firefly Algorithm-based Gated Recurrent Unit

Published:2024-03-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Mohan M¹,AL-Attabi Kassem²,Malathy V³,Srinivas Gundeti⁴,Srihari G⁵

Affiliation:

1. Nitte Meenakshi Institute of Technology,Dept of ISE,Bengaluru,India

2. The Islamic university,Najaf,Iraq

3. School of Engineering, SR University,Department of ECE,Warangal,Telangana,India

4. CVR College of Engineering,Department of Information Technology,Hyderabad,Telangana,India

5. School of Technology, The Apollo University,Chittoor,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515481.pdf?arnumber=10515481

Reference13 articles.

1. Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images

2. Multiplicative long short-term memory-based software-defined networking for handover management in 5G network

3. Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network

4. Coherent convolution neural network based retinal disease detection using optical coherence tomographic images

5. Retinal Structure Detection in OCTA Image via Voting-Based Multitask Learning

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