Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
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-12,Issue-1. 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

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Diabetic Retinopathy Classification Using CNN
PaperId: :  23953
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23953
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Takbhate T.KMIT College Of Railway Engineering And Research, Barshi
ONKAR VIJAYKUMAR JOSHIMIT College Of Railway Engineering And Research, Barshi
NIRANJAN SADANAND PEGADAMIT College Of Railway Engineering And Research, Barshi
RAHUL VENUGOPAL ANKARAMMIT College Of Railway Engineering And Research, Barshi
ADITYA SIDDHPRASAD ANKARAMMIT College Of Railway Engineering And Research, Barshi
RITESH NAGESH SUTRAVEMIT College Of Railway Engineering And Research, Barshi

Abstract

Computer Science and Engineering
Diabetic Retinopathy (DR), Convolutional Neural Networks (CNNs), Fundus Images, Feature Extraction, Classification, Deep Learning, Image Preprocessing, Data Augmentation, Training Dataset, Validation Dataset, Accuracy, Data Collection, Python
This study presents a novel approach for the classification of Diabetic Retinopathy (DR) utilizing Convolutional Neural Networks ( CNN ). Leveraging deep learning techniques, the proposed CNN model demonstrates high accuracy in distinguishing various stages of DR from retinal fundus images. Through the integration of convolutional layers, pooling , and fully connected layers, the model effectively learns intricate features indicative of diabetic retinopathy. The system’s performance is evaluated using a comprehensive dataset, showcasing its potential as an efficient and automated tool for early DR detection and classification. The results highlight the significance of employing CNNs in medical image analysis, particularly for enhancing diagnostic processes in diabetic retinopathy.

Citations

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

IJARIIE Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. "Diabetic Retinopathy Classification Using CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 2348-2356
MLA Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. "Diabetic Retinopathy Classification Using CNN." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 2348-2356.
APA Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, & RITESH NAGESH SUTRAVE. (2024). Diabetic Retinopathy Classification Using CNN. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 2348-2356.
Chicago Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. "Diabetic Retinopathy Classification Using CNN." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 2348-2356.
Oxford Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. 'Diabetic Retinopathy Classification Using CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 2348-2356. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Diabetic_Retinopathy_Classification_Using_CNN_ijariie23953.pdf (Accessed : ).
Harvard Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. (2024) 'Diabetic Retinopathy Classification Using CNN', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 2348-2356IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Diabetic_Retinopathy_Classification_Using_CNN_ijariie23953.pdf (Accessed : )
IEEE Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE, "Diabetic Retinopathy Classification Using CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 2348-2356, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Diabetic_Retinopathy_Classification_Using_CNN_ijariie23953.pdf [Accessed : ].
Turabian Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. "Diabetic Retinopathy Classification Using CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE. Diabetic Retinopathy Classification Using CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 2348-2356. Available from: https://ijariie.com/AdminUploadPdf/Diabetic_Retinopathy_Classification_Using_CNN_ijariie23953.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
MULTIPLE DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNINGCOMPUTER ENGINEERING DR. J. AMUTHARAJ Download
SOLAR TRACKING SYSTEM WITH WEATHER FORECASTING AND AUTOMATED CLEANING SYSTEMArtificial Intelligence Electrical and Electronics EngineeringVanarasan S Download
Music Recommendation based on Face Emotion Using Artificial Intelligence and Machine LearningInformation Science EngineeringDr. Sreenivasa Murthy V Download
SMART TRAFFIC AI MONITORING SYSTEM-AI/MLINFORMATION SCIENCE AND ENGINEERING PRIYANKA MT Download
SHADOW THE WEB BROWSERComputer Science and EngineeringLakshmi Narayan S Download
SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEMComputer Engineering Tharun R Download
Early Detection Of Electrical Fault Line Using Artificial IntelligenceElectrical Engineering , Computer Science , Artificial IntelligenceRakshitha R Download
Real Time Object Detection Tracking using YOLO and Deep SORTInformation science and engineeringNandan M R Download
An AI-Integrated Intelligent Health Advisory System with Machine-Learning-Based Ayurvedic Formulation RecommendationInformation Science EngineeringSrinidhi G Download
Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS Information Science and EngineeringVarun V Download
Precision Agriculture Using Machine Learning and IOTComputer Science and EngineeringRamesh B E Download
A Secure Blockchain Based Voting SystemComputer Science and EngineeringSagar K R Download
Chatbot based helpdesk for Government employee and departmentsComputer science & Engineering(Cyber Security Engineerting)Dr. Shanthi S Download
Zero Trust ArchitectureComputer EngineeringAditya Yanna Download
Intelligent IoT Security Monitoring: Enhancing Optimum-Path Forest Classifiers with Fuzzy Logic:A Comprehensive ReviewComputer science and engineeringK Vijay kumar Download
12