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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
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Automated Diagnostic System for Diabetic Retinopathy using Deep Learning |
| Authors Name: | Manoj H P , Dr Sahana Salagere , Revanth N Mithra , Anush R , Prashanth T |
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| Author Reg. ID: |
IJRTI_207123
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| Published Paper Id: | IJRTI2511013 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | A gradual consequence of diabetes, diabetic retinopathy (DR) is one of the main causes of avoidable blindness. Vision impairment can be prevented by early identification, however manual diagnosis using retinal fundus image analysis is laborious, subjective, and necessitates specific knowledge. The automated DR detection system proposed in this study makes use of EfficientNet-B4, a high-performing deep learning architecture that provides better accuracy and feature extraction capabilities than previous iterations of EfficientNet. Retinal fundus imaging datasets are used to train the model, which is then refined by transfer learning to categorise various DR phases. The trained model is made accessible by deploying it as a Flask-based web application, which allows users to upload fundus photos and get real-time predictions. Grad-CAM heatmaps are also used to provide interpretability. In underprivileged healthcare settings, the suggested approach seeks to enhance early detection, expedite large-scale screening, and support ophthalmologists in clinical decision-making. |
| Keywords: | Diabetic Retinopathy, EfficientNet-B4, Deep Learning, Transfer Learning, Fundus Images, Medical Image Analysis, Web Deployment, Flask |
| Cite Article: | "Automated Diagnostic System for Diabetic Retinopathy using Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a106-a109, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511013.pdf |
| Downloads: | 000234 |
| 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 |
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Published Paper ID: IJRTI2511013
Registration ID:207123
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a106-a109 Country: Begaluru urban, karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511013 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511013 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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