|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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: May 2024
Volume 9 | Issue 5
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 : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | RetinaGuard AI: Harnessing SVM, KNN, and Deep Learning for Diabetic Retinopathy Diagnosis |
| Authors Name: | Anampalli Apoorva , B. Padma Vijetha Dev , Serene Achamma Abraham , Srinidhi Pilli , Sushma Pottipally |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_213106
|
| Published Paper Id: | IJNRD2401325 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | This review examines recent advances in deep learning techniques for the detection and classification of Diabetic Retinopathy (DR) in retinal fundus images. Diabetes- related retinopathy, a leading cause of blindness in diabetics, needs to be detected early for effective treatment. Traditional manual diagnosis methods are time-consuming and prone to errors. To assess the effectiveness of various deep learning models, such as CNNs, VGG-16, VGG-19, and Vision Transformers, we employ a wide range of deep learning models, including CNNs, VGG-16, VGG-19, and Vision Transformers. As part of the review, available data for DR-related fundus images are surveyed, and research gaps and challenges are identified. Researchers, clinicians, and stakeholders interested in improving the effectiveness of automated systems for the early diagnosis and management of Diabetic Retinopathy will find this review to be a valuable resource because it synthesises current knowledge and highlights areas for future exploration. |
| Keywords: | Diabetic Retinopathy, deep learning, retinal fundus images, CNNs, VGG-16, VGG-19, Classification |
| Cite Article: | "RetinaGuard AI: Harnessing SVM, KNN, and Deep Learning for Diabetic Retinopathy Diagnosis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.d179-d186, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401325.pdf |
| Downloads: | 000118761 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2401325 Registration ID: 213106 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: d179-d186 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2401325 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2401325 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn