A New Approach to Recognize a Patient with Diabetic Retinopathy using Pre-trained Deep Neural Network EfficientNetB0-Reference-Cited by-同舟云学术

A New Approach to Recognize a Patient with Diabetic Retinopathy using Pre-trained Deep Neural Network EfficientNetB0

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
Short-container-title:

Author:

H Sangamesh¹,Petli Vishwanath¹,K Jalihal V¹,B K Jyoti¹,Patil Shilpa¹

Affiliation:

1. H. K. E Society's S. L. N. College of Engineering,Department of Electronics and Communication Engineering,Raichur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099473/10099480/10099647.pdf?arnumber=10099647

Reference21 articles.

1. Automated detection of diabetic retinopathy using deep learning;carson;AMIA Summits on Translational Science Proceedings 2018,2018

2. Classification of diabetic retinopathy images by using deep learning models;suvajit;International Journal of Grid and Distributed Computing 11 1,2018

3. Detection of diabetic retinopathy using deep learning methodology;gazala;LOP Conference Series Materials Science and Engineering,0

4. Diabetic Retinopathy

5. On the value of deep learning for diagnosing diabetic retinopathy;chaymaa;Health and Technology 12,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CVINet: A deep learning based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images;International Journal of Imaging Systems and Technology;2023-12-09

2. An Ensemble Approach to Detect Diabetic Retinopathy using the Residual Contrast Limited Adaptable Histogram Equalization Method;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23