A Premature Recognition of Diabetic Retinopathy Using Deep Learning and Grad Cam Technology

Abirami T, Adhishvar M, Dharani K, Darshana P R

2025

Abstract

This paper introduces a Flask-based web application for detecting and classifying diabetic retinopathy (DR), a severe complication of diabetes mellitus, using retinal fundus images. The application integrates the EfficientNetB2 neural network to categorize DR into five stages: No Diabetic Retinopathy (No DR), Mild, Moderate, Severe, and Proliferative Diabetic Retinopathy, with an additional class to identify low-quality images, preventing misclassification and ensuring reliable results. It employs preprocessing techniques such as image scaling, data cleaning, and augmentation, along with class balancing strategies and hyperparameter tuning to optimize model performance. The user-friendly Flask interface enables healthcare providers to upload retinal images of both eyes and receive real-time diagnostic predictions, facilitating early diagnosis and intervention. By improving diagnostic accuracy and accessibility, this system represents a crucial step toward integrating artificial intelligence into practical medical applications to address a significant global health challenge.

Paper Citation

in Harvard Style

T A., M A., K D. and P R D. (2025). A Premature Recognition of Diabetic Retinopathy Using Deep Learning and Grad Cam Technology. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 603-610. DOI: 10.5220/0013633200004664

in Bibtex Style

@conference{incoft25,
author={Abirami T and Adhishvar M and Dharani K and Darshana P R},
title={A Premature Recognition of Diabetic Retinopathy Using Deep Learning and Grad Cam Technology},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={603-610},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013633200004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - A Premature Recognition of Diabetic Retinopathy Using Deep Learning and Grad Cam Technology
SN - 978-989-758-763-4
AU - T A.
AU - M A.
AU - K D.
AU - P R D.
PY - 2025
SP - 603
EP - 610
DO - 10.5220/0013633200004664
PB - SciTePress