RetinaGuard AI: Harnessing SVM, KNN, and Deep Learning for Diabetic Retinopathy Diagnosis

RetinaGuard AI: Harnessing SVM, KNN, and Deep Learning for Diabetic Retinopathy Diagnosis

Registration ID: IJNRD_213106

Published ID: IJNRD2401325

DOI: Click Here to Get

Anampalli Apoorva , B. Padma Vijetha Dev , Serene Achamma Abraham , Srinidhi Pilli , Sushma Pottipally

Diabetic Retinopathy, deep learning, retinal fundus images, CNNs, VGG-16, VGG-19, Classification

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.

Published Paper   E-Certificate

"RetinaGuard AI: Harnessing SVM, KNN, and Deep Learning for Diabetic Retinopathy Diagnosis", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 1, page no.d179-d186, January-2024, Available :https://ijnrd.org/papers/IJNRD2401325.pdf

Volume 9 Issue 1, January-2024

Pages : d179-d186

Paper Reg. ID: IJNRD_213106

Published Paper Id: IJNRD2401325

Downloads: 000121150

Research Area: Engineering

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401325.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401325

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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