Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS
PaperId: :  17186
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17186
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
YADLAPALLI DEEPTHIVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
VANKAYALAPATI AKSHARAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
SANNAYALA SIREESHAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

Abstract

ELECTRONICS AND COMMUNICATION ENGINEERING.
Convolution neural networks, Glaucoma, Non-glaucoma, ReLU, VGG-19.
GLAUCOMA is an unending and irreversible eye infection in which the optic nerve is consistently hurt, causing disintegration in vision and individual fulfillment. Glaucoma is rated as the leading cause of blindness in the working age population all over the world. Glaucoma is also rated as the leading cause of irreversible vision loss worldwide. Early detection of glaucoma is important for providing timely treatment and minimizing vision loss. The diagnosis of Glaucoma through color fundus images requires experienced clinicians to identify the presence and significance of many small features which, along with the complex grading system, makes this difficult and timeconsuming task. Hence this issue is the right problem that can be solved by automatically diagnosing glaucoma with the help of the deep learning approaches. In this project Glaucoma is detected using a network with Convolution Neural Network (CNN) architecture. Convolutional Neural Networks (CNN’s) are appropriate to find the solution for this type of issue as they can extract various levels of data from the input image, and which encourages to differentiate among non-glaucomic and glaucomic images. This model is trained and tested on a kaggle dataset.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. "GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 3282-3286
MLA YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. "GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 3282-3286.
APA YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, & SANNAYALA SIREESHA. (2022). GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 3282-3286.
Chicago YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. "GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 3282-3286.
Oxford YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. 'GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 3282-3286. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/GLAUCOMA_DETECTION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie17186.pdf (Accessed : 21 November 2022).
Harvard YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. (2022) 'GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 3282-3286IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/GLAUCOMA_DETECTION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie17186.pdf (Accessed : 21 November 2022)
IEEE YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA, "GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 3282-3286, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/GLAUCOMA_DETECTION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie17186.pdf [Accessed : 21 November 2022].
Turabian YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. "GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (21 November 2022).
Vancouver YADLAPALLI DEEPTHI, VANKAYALAPATI AKSHARA, and SANNAYALA SIREESHA. GLAUCOMA DETECTION USING CONVOLUTION NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 21 November 2022]; 8(3) : 3282-3286. Available from: https://ijariie.com/AdminUploadPdf/GLAUCOMA_DETECTION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie17186.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/21/2022 3:11:11 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic LearningSri Venkatesa Perumal College of Engineering & TechnologyK Purushotham Download
SMART HOME SECURITY SYSTEMELECTRONICS AND COMMUNICATION ENGINEERINGArshi Download
Evaluation of Machine Learning Models for Air Quality Index PredictionElectronics and Communication EngineeringI.S.Priya Download
A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16Electronics and Communication EngineeringA.Geethanjali Download
Data - driven Explainable Predictive Features For Water Quality Prediction Using Ensemble LearningSri Venkatesa Perumal college of Engineering & TechnologyT.V.Ananda Babu Download
Enhanced Intrusion and Anomaly Detection in Industrial IoT Using Ensemble Learning and LSTMElecfA.Nithyavel Krishna Download
Robust Glaucoma Prediction from Fundus Images using DenseNet201 &NASNetMobileElectronics and Communication Engineering A.Geethanjali Download
Optimized Metric Learning for Enhanced Coronary Heart Disease PredictionSri Venkatesa Perumal college of Engineering and TechnologyMr. T V Ananda Babu Download
Performance Analysis of LMS-MUSIC and LMS-MVDR DOA Estimation AlgorithmELECTRONICS ENGINEERINGKAMAL NIWARIA Download
IoT SMART GARDENING SYSTEMElectronics and Communication EngineeringS. SAI PRUTHVI Download
Classification and Recognisation of Lung Sounds Based on Improved Bi-ResNet modelSri Venkatesa Perumal college of Engineering and TechnologyMr. Y Maheshwar Download
E-Ration SystemElectronics Dr. Trupti K. Wable Download
Memory & computation-aware trust worthy university e-voting solution-solidity approachSri Venkatesa Perumal College of Engineering & TechnologyK Purushotham Download
Development of a Smart Portable IoT Enabled Electric Vehicle Charging StationElectronics and Telecommunication EngineeringManisha Mohan Bagul Download
Optimized Pattern Aware Brain Tumor Segmentation Using Enhanced U-net LearningImage processingY Maheswar Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.