Deep Learning Approaches for Detecting Diabetic Retinopathy using CNN Models-Reference-Cited by-同舟云学术

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Deep Learning Approaches for Detecting Diabetic Retinopathy using CNN Models

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Krishnan M. Mukesh¹,Ramya S. Thanga²,Kirubanathavalli K.³,Lalitha S.⁴,Diofrin J.¹,Vadivel M.¹

Affiliation:

1. Francis Xavier Engineering College,Department of CSE,Tirunelveli,Tamil Nadu,India

2. R.M.K. Engineering College,Department of Computer Science and Design,Tiruvallur,Tamil Nadu,India

3. Unnamalai Institute of Technology,Department of CSE,Kovilpatti,Tamil Nadu,India

4. Manonmaniam Sundaranar University,Department of CSE,Tirunelveli,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028980/10028739/10029234.pdf?arnumber=10029234

Reference17 articles.

1. Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images

2. Brain Tumour Detection by Gamma DeNoised Wavelet Segmented Entropy Classifier;simy mary;Computers Materials and Continua,2021

3. A Comprehensive Review on Smart Decision Support Systems for Health Care

4. Liver Steatosis Segmentation With Deep Learning Methods

5. Detection of Diabetic Retinopathy and its Classification from the Fundus Images

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1. Efficient Diabetic Retinopathy Segmentation and Classification using Residual Encoder-Decoder Architecture;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Dual-discriminator conditional generative adversarial network optimized with hybrid manta ray foraging optimization and volcano eruption algorithm for hyperspectral anomaly detection;Expert Systems with Applications;2024-03

3. Enhancing Diabetic Retinopathy Diagnosis with Inception v4: A Deep Learning Approach;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Enhancing the Efficiency of Diabetes Prediction through Training and Classification using PCA and LR Model;Annals of Emerging Technologies in Computing;2023-07-01

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