CDBO_DenseNet: CAViaR Dung Beetle Optimization Enabled Deep Learning for Diabetic Retinopathy Classification-Reference-Cited by-同舟云学术

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CDBO_DenseNet: CAViaR Dung Beetle Optimization Enabled Deep Learning for Diabetic Retinopathy Classification

Published:2024-03-05 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
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Author:

Sagvekar Vidya¹,Joshi Manjusha²,Ramakrishnan Minu³,Dudani Ajay³

Affiliation:

1. Mukesh Patel School of Technology Management & Engineering

2. Amity School of Engineering and Technology (ASET),Department of Electronics & Communication Engineering

3. Hospital and Research Centre,Department of Ophthalmology K.J Somaiya Medical College,Mumbai,22

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10497186/10497189/10497412.pdf?arnumber=10497412

Reference23 articles.

1. Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network

2. A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence

3. Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

4. An enhanced swarm optimization-based deep neural network for diabetic retinopathy classification in fundus images

5. An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm

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