Detection of Glaucoma Eye Disease Using Deep Learning-Reference-Cited by-同舟云学术

Detection of Glaucoma Eye Disease Using Deep Learning

Published:2023-05-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)
language:
Short-container-title:

Author:

Gutte Geetanjali¹,Khaire Bhavana¹,Harne Vaishnavi¹,Shamalik Rameez¹,Chippalkatti Srinivas²

Affiliation:

1. Bharati Vidyapeet's College of Engineering For Women,Department of Electronics and Telecommunication,Pune,India

2. Vishawakarma University,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223476/10223462/10223519.pdf?arnumber=10223519

Reference22 articles.

1. Automated Glaucoma Classification Based on Image Segmentation And Feature Extraction;guo;International Federation for Medical and Biological Engineering,2020

2. Automatic Classification of Glaucoma Stages Using Two-Dimensional Tensor Empirical Wavelet Transform

3. Expert System For Detection Glaucoma Disease Using Certainty Factor Method

4. Understanding and Visualization of Different Feature Extraction Processes in Glaucoma Detection

5. Transformation of Video Signal Processing Techniques from 2D to 3D: A Survey

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. Biogenic Synthesis and Characterisation of Flueggea leucopyrus Willd Leaf Mediated Copper Nanoparticles for Antibacterial, Antioxidant, and Antidiabetic Activities;Journal of Herbal Medicine;2024-03

2. Review of Eye Diseases Detection and Classification Using Deep Learning Techniques;BIO Web of Conferences;2024

3. An Empirical Evaluation of Glaucoma Disease Detection using Novel Deep Learning Model with Image Processing Support;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14