Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network-Reference-Cited by-同舟云学术

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Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network

Published:2022-03-13 Issue:9 Volume:37 Page:6305-6330
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Gampala Veerraju¹^ORCID,Maram Balajee²,Vigneshwari S.³,Cristin R.²

Affiliation:

1. Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram, Guntur Andhra Pradesh India

2. Department of Computer Science and Engineering GMR Institute of Technology Rajam Andhra Pradesh India

3. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22845

Reference39 articles.

1. Expert systems for self-diagnosing of eye diseases using Naïve Bayes

2. Multiple feature sets and SVM classifier for the detection of diabetic retinopathy using retinal images;Ninupreetha SP;Multimedia Res,2018

3. The prevalence of eye disease in nursing home and non-nursing home geriatric populations

4. The Pathophysiology and Treatment of Glaucoma

5. Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

Cited by 3 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. Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images;Multimedia Tools and Applications;2024-02-23

2. Web based portal for hierarchical project management;AIP Conference Proceedings;2024

3. Detection Of Breast Cancer Based on Fuzzy Logic;2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS);2023-08-02

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