DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES

April 2025
Vol-11, Issue-2
Paper ID: 26329
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Biomedical Engineering
Keywords
Smart Phone Fundus Imaging Diabetic Retinopathy Easy Access Portability.
Abstract
Smartphone-based fundus imaging has emerged as a promising solution for accessible and cost effective retinal disease screening. This paper explores the integration of deep learning algorithms with smartphone-based fundus imaging to enhance diagnostic accuracy for retinal disorders such as diabetic retinopathy, glaucoma, and age-related macular degeneration. The proposed approach leverages convolutional neural networks (CNNs) to analyze fundus images and provide automated diagnosis. This study discusses the methodology, challenges, and future directions for smartphone-based deep learning applications in ophthalmology.

Author Information

# Name Institute / Affiliation
1 Jeeva Prakash N Sri Ramakrishna Engineering College
2 Lavanya G Sri Ramakrishna Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style
N, Jeeva Prakash & G, Lavanya (2025). DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 2707-2713.
MLA Style
N, Jeeva Prakash, and Lavanya G. "DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 2707-2713.
IEEE Style
Jeeva Prakash N and Lavanya G, "DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 2707-2713, 2025.
Vancouver Style
N Jeeva Prakash, G Lavanya. DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):2707-2713.
Harvard Style
N, Jeeva Prakash & G, Lavanya (2025) 'DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 2707-2713.
Chicago Style
N, Jeeva Prakash and Lavanya G. "DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2707-2713.
Turabian Style
N, Jeeva Prakash and Lavanya G. "DIAGNOSIS OF VARIOUS STAGES OF DIABETIC RETINOPATHY USING A DEEP LEARNING BASED APPROACH FROM SMART PHONE BASED FUDUS IMAGES." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2707-2713.

Export Citation

Related Research

Deep Learning for Tuberculosis Detection: Enhancing Di-agnostic with Chest X-Rays
RahulKumar J.Desai et al. 2026 Computer Science
PDF Unavailable
EXPLORING ENZYMATIC POTENTIAL OF AQUATIC CHROMOGENIC ACTINOMYCETES
Om Vilasrao Adel et al. 2026 Life Science
PDF Unavailable
RISK ASSESSMENT IN CLOUD-BASED BANKING USING TRANSFORMER-CNN HYBRID MODELS AND BAYESIAN NETWORKS
Polevoy Sergey Vladimirovich 2025 Computer Engineering
PDF Unavailable