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: :  Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images
PaperId: :  9349
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 6 2018
DUI:    16.0415/IJARIIE-9349
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Udayan BirajdarNBN Sinhgad School of Engineering(Pune University)
Sanket GadhaveNBN Sinhgad School of Engineering (Pune University)
Shubham DadhichNBN Sinhgad School of Engineering (Pune University)
Shreyas ChikodikarNBN Sinhgad School of Engineering (Pune University)

Abstract

Computer Engineering
Diabetic Retinopathy , Convolution Neural Networks, Artificial Intelligence
There are countless number of people with diabetes around the world. Diabetic Retinopathy (DR), a major complication of diabetes, is a retinal disease that results in blindness. Early detection can prevent or delay the loss of vision due to DR. For early detection, it is essential for diabetic patients to undergo frequent retinal tests. Diagnosing DR using fundus images is a complex process and thus difficult and time consuming task requiring professional expertise to identify if the DR traits are present in eye. We propose a system that can provide immediate feedback thus effectively simplifying the process. Convolutional Neural Network (CNN) architecture based on fundus image database to accurately diagnose DR with minimum efforts on the part of patient and doctor is developed. The database contains multiple cases of retinal hemorrhage, micro-aneurism, cotton-woolspots, etc. The retinal image of the patient is fed to the system where image is processed to detect signs of DR. The network is also trained to classify various stages of DR depending on severity such as nonproliferative DR or proliferative DR. The output contains a report detailing if DR is present or not in the retinal image in question and if present, which stage it is.

Citations

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

IJARIIE Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. "Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 6 2018 Page 505-510
MLA Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. "Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images." International Journal Of Advance Research And Innovative Ideas In Education 4.6(2018) : 505-510.
APA Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, & Shreyas Chikodikar. (2018). Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images. International Journal Of Advance Research And Innovative Ideas In Education, 4(6), 505-510.
Chicago Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. "Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 6 (2018) : 505-510.
Oxford Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. 'Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 6, 2018, p. 505-510. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detection_and_classification_of_diabetic_retinopathy_using_convolutional_neural_networks_and_fundus_images_ijariie9349.pdf (Accessed : 22 October 2021).
Harvard Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. (2018) 'Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images', International Journal Of Advance Research And Innovative Ideas In Education, 4(6), pp. 505-510IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detection_and_classification_of_diabetic_retinopathy_using_convolutional_neural_networks_and_fundus_images_ijariie9349.pdf (Accessed : 22 October 2021)
IEEE Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar, "Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 6, pp. 505-510, Nov-Dec 2018. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detection_and_classification_of_diabetic_retinopathy_using_convolutional_neural_networks_and_fundus_images_ijariie9349.pdf [Accessed : 22 October 2021].
Turabian Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. "Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 6 (22 October 2021).
Vancouver Udayan Birajdar, Sanket Gadhave, Shubham Dadhich, and Shreyas Chikodikar. Detection and classification of diabetic retinopathy using convolutional neural networks and fundus images. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 22 October 2021]; 4(6) : 505-510. Available from: https://ijariie.com/AdminUploadPdf/Detection_and_classification_of_diabetic_retinopathy_using_convolutional_neural_networks_and_fundus_images_ijariie9349.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 10/22/2021 1:56:45 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
Predictive Modelling of Nanoparticle Interactions with the Human Microbiomemachine learningDr. Altaf Hussain Download
AI-Driven Optimization of Nanoparticle-Based Gene Delivery SystemsArtificial Intelligence (AI)Akshay Gowda Download
Crowd Density Prediction using Deep LearningComputer Science and EngineeringAbdul Jabbar Shaikh Download
HOMIGO – A FULL-STACK APPLICATIONComputer EngineeringProf. Somashekhar B M Download
Soldier Health Monitoring & Surveillance Robot using War field using IOTComputer EngineeringProf. Seema firdose 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.