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: :  Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review
PaperId: :  20429
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20429
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Yashashree MahaleInternational Institute of Information Technology , Pune
Mahesh BandewarInternational Institute of Information Technology , Pune
Samyak SahooInternational Institute of Information Technology , Pune
Bhavesh JoshiInternational Institute of Information Technology , Pune
Prof.Sarang SaojiInternational Institute of Information Technology , Pune

Abstract

Computer Engineering
Diabetic retinopathy, Deep learning, fundus images, Image classification
Diabetic retinopathy (DR) is a prevalent and serious consequence of diabetes, affecting individuals worldwide, particularly in regions with limited access to technology and financial resources. The impact of DR on vision loss underscores the urgent need for early detection and intervention. DR is typically categorized into five stages, each indicative of varying degrees of retinal damage. The first stage is known as "no DR," denoting the absence of detectable damage to the retina. Following this stage, there are four progressive levels of severity: mild, moderate, severe, and proliferative DR. In this regard, artificial intelligence (AI) and deep learning technologies have emerged as invaluable tools in ophthalmology, offering automated solutions to complement traditional approaches. The integration of AI and deep learning into the diagnosis and monitoring of DR offers numerous benefits. These technologies can automate the screening process, allowing for early identification and timely intervention. By analyzing medical images, such as retinal scans, AI algorithms can detect subtle abnormalities and provide accurate assessments of disease progression. This not only enhances the efficiency of healthcare professionals but also ensures that patients receive appropriate treatment at the earliest possible stage. Artificial intelligence and deep learning techniques offer a transformative approach to automate the process, improving the accuracy, efficiency, and accessibility of DR diagnosis. By integrating these technologies into ophthalmology practices, we can make significant strides in reducing vision loss and improving the overall quality of care for individuals affected by diabetic retinopathy.

Citations

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

IJARIIE Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. "Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 2104-2110
MLA Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. "Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 2104-2110.
APA Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, & Prof.Sarang Saoji. (2023). Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 2104-2110.
Chicago Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. "Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 2104-2110.
Oxford Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. 'Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 2104-2110. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Machine_Learning_and_Deep_learning_for_Diabetic_Retinopathy_Detection___A_Review_ijariie20429.pdf (Accessed : 27 May 2023).
Harvard Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. (2023) 'Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 2104-2110IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Machine_Learning_and_Deep_learning_for_Diabetic_Retinopathy_Detection___A_Review_ijariie20429.pdf (Accessed : 27 May 2023)
IEEE Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji, "Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 2104-2110, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Machine_Learning_and_Deep_learning_for_Diabetic_Retinopathy_Detection___A_Review_ijariie20429.pdf [Accessed : 27 May 2023].
Turabian Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. "Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (27 May 2023).
Vancouver Yashashree Mahale, Mahesh Bandewar, Samyak Sahoo, Bhavesh Joshi, and Prof.Sarang Saoji. Machine Learning and Deep learning for Diabetic Retinopathy Detection: A Review. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 27 May 2023]; 9(3) : 2104-2110. Available from: https://ijariie.com/AdminUploadPdf/Machine_Learning_and_Deep_learning_for_Diabetic_Retinopathy_Detection___A_Review_ijariie20429.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/27/2023 4:16:47 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Comparative Analysis of DevOps CI/Cd Tools: Optimizing Operational Efficiency of Software DeploymentComputer EngineeringSandeep Naduvinmani Download
An Overview of Cybersecurity in Connected and Autonomous Vehicles (CAVs) Computer EngineeringVaishali Kailas Shinde Download
"Lossless Data Hiding in the NTRU Cryptosystem Using Polynomial Encoding and Modulation"Computer EngineeringSanjana Sanjay Udare Download
"Real-Time Forest Fire Detection Using FireNet-CNN and Explainable AI Methods"Computer EngineeringPriyanka Navanath Bale Download
THE EVOLUTION OF JAVASCRIPT FRAMEWORKS: FROM JQUERY TO MODERN REACT/ANGULARCSEG.TAMILSELVAN Download
(BBMS) - BLOOD MANAGEMENT SYSTEMEngineeringInamullah Download
Deep Convolutional Neural Network-Based Recognition of Air-WritingComputer Engineering Dhongde.V.S Download
Medical Assistance Chatbot using Artificial Intelligence and Machine LearningComputer Engineering Shaikh Akhil Shadul Pasha Download
AGRICARD: ONE PLATFORM FOR ALL AGRICUTURAL NEEDSComputer Engineering Patil Kalpesh Prashant Download
CHANGE DETECTION APPROACH FOR DETECTING DEFORESTATIONComputer EngineeringAbhishek Kailas Tekale Download
Transforming Rural Administration Through Digital Innovation: The E-Gram Panchayat ApproachComputer EngineeringMiss. Mali Mansi Kishor Download
AI-Augmented Systems for Medication AdherenceComputer scienceSushritha Harthi H.Y Download
AI-Based Analytics for Chronic Obstructive Pulmonary DiseaseComputer scienceAnusha B.C Download
Dynamic AI Models for Real-Time ICU MonitoringComputer scienceMouna Shree Gowda Download
Predictive AI Models for Emergency Room TriageComputer scienceAkshatha H.U 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.