Automatic Diagnosis and Grading of Diabetic Retinopathy using Bat Optimization Algorithm-Refined Deep Residual Network-Reference-Cited by-同舟云学术

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Automatic Diagnosis and Grading of Diabetic Retinopathy using Bat Optimization Algorithm-Refined Deep Residual Network

Published:2023-10-20 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

Lakshmi B. Haritha¹,Kaneti Venkata Ramana²,Soundariya R S³,Nayak Sanjib Kumar⁴,N Rajesh⁵

Affiliation:

1. Malla Reddy Engineering College for Women,IT Department,Hyderabad,India

2. VNR Vignana Jyothi Institute of Engineering and Technology,Department of Computer Science and Engineering,Hyderabad,India

3. Bannari Amman Institute of Technology,Department of Computer Technology,Sathyamangalam,India

4. CMR Technical Campus,Department of Computer Science and Engineering (Data Science),Hyderabad,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393485.pdf?arnumber=10393485

Reference14 articles.

1. Detection and classification of red lesions from retinal images for diabetic retinopathy detection using deep learning models

2. Improving detection and classification of diabetic retinopathy using CUDA and Mask RCNN

3. Semantic Segmentation in Medical Image Based on Hybrid Dlinknet and Unet

4. Texture Attention Network for Diabetic Retinopathy Classification

5. A Robust Airport Runway Detection Network Based on R-CNN Using Remote Sensing Images

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