 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: October 2025
Volume 10 | Issue 10
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18245
Article Published : 7789
Total Authors : 20583
Total Reviewer : 750
Total Countries : 142
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | DIABETIC RETINOPATHY DETECTION USING CONVOLUTIONAL NEURAL NETWORKS |
| Authors Name: | SHERIN THOMAS , NANDANA V , NAVANEETH BABU , NEERAJ NANDAN , RESHMI S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185567
|
| Published Paper Id: | IJRTI2303074 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | Diabetes is one of the most common health issues that we come across in our lives. Most of the people are unaware of the consequences of not taking care of the same. Diabetes leads to a lot of health dilemmas, one of which being Diabetic Retinopathy. Diabetes leads to rise in blood sugar level which in turn becomes the source for the development of Diabetic Retinopathy and having too much sugar can damage the retina over time along with damage of optical nerve in the long run. Diabetic Retinopathy can even lead to blindness if not treated properly in the early stages. Convolutional Neural Networks can be used efficiently for the detection of Diabetic Retinopathy. The fundus images of retina can be tested using a well-trained network and the disease as well as its current stage can be determined. Some of the existing networks namely- VGG16, Resnet50 and Inception V3 have been trained with the datasets from kaggle. The most efficient network being Inception V3 is selected and has been trained and tested with the external dataset collected from Government Medical College, Thrissur. Hyperparameter tuning has also been studied with the parameters learning rate, epoch, decay and momentum, giving a wider picture of how effective CNN can be in diagnosing Diabetic Retinopathy. |
| Keywords: | Classification, CNN, Diabetic retinopathy, Fundus images |
| Cite Article: | "DIABETIC RETINOPATHY DETECTION USING CONVOLUTIONAL NEURAL NETWORKS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 3, page no.432 - 436, March-2023, Available :http://www.ijrti.org/papers/IJRTI2303074.pdf |
| Downloads: | 000205133 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2303074
Registration ID:185567
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 432 - 436 Country: Kasargod, Kerala, India Research Area: Bio Medical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2303074 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2303074 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||