A Design of an Effective Methodology to Detect Glaucoma Disease using Intelligent Learning Strategy-Reference-Cited by-同舟云学术

A Design of an Effective Methodology to Detect Glaucoma Disease using Intelligent Learning Strategy

Published:2023-11-23 Issue: Volume:11 Page:1-6
ISSN:
Container-title:2023 9th International Conference on Smart Structures and Systems (ICSSS)
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Author:

D Shobana¹,Akilarasu G.²,J Sangeetha³,Priya V. Banu⁴,Karkuzhali S.⁵,Malathi P.⁶

Affiliation:

1. Rajalakshmi Engineering College,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

2. Lovely Professional University,Department of Computer Science and Engineering,Punjab,India

3. S. A. Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

4. R.M.K. College of Engineering and Technology,Department of Mathematics,Chennai,Tamil Nadu,India

5. R.M.K. Engineering College,Department of General Engineering,Chennai,Tamil Nadu,India

6. Saveetha College of Liberal Arts and Sciences, SIMATS,Department of Data Analytics,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407077.pdf?arnumber=10407077

Reference13 articles.

1. Glaucoma Disease Detection Using Deep Learning

2. Glaucoma Detection with Improved Deep Learning Model Trained with Optimal Features: An Improved Meta-Heuristic Model;Chandrasekaran;International Journal of Intelligent Systems and Applications in Engineering,2023

3. Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies

4. Deep learning-based classification network for glaucoma in retinal images

5. A Novel Deep Learning-Based Black Fungus Disease Identification Using Modified Hybrid Learning Methodology