Automatic Detection and Classification of Diabetic Retinopathy using Modified UNET-Reference-Cited by-同舟云学术

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Automatic Detection and Classification of Diabetic Retinopathy using Modified UNET

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
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Author:

P Nageswari¹,Kandasamy Manivel²,Shanmugam Raju²,A Suresh Kumar³

Affiliation:

1. Mahendra Institute of Technology,Department of Mathematics,Namakkal,Tamilnadu,India

2. Karnavati University,Unitedworld School of Computational Intelligence(USCI),Gandhinagar,Gujarat,India

3. Graphic Era Deemed to be University,Department of Computer Science Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073897.pdf?arnumber=10073897

Reference22 articles.

1. Automated Detection of Exudates in Retinal Images using a Split-and-Merge Algorithm;jaafar;18th European Signal Processing Conference,2010

2. Automated microaneurysm detection method based on double ring filter in retinal fundus images

3. Retinal Vessel Segmentation using Deep Neural Networks

4. Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images

Cited by 1 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. Detection of Breast Tumor Using Various Machine Learning Techniques;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

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