Diagnosis of Diabetic Retinopathy Using Deep Neural Network

Diagnosis of Diabetic Retinopathy Using Deep Neural Network

Registration ID: IJNRD_217557

Published ID: IJNRD2404439

DOI: Click Here to Get

Adarsh Patel , Aashutosh Kumar , Vikash Kumar , Ajay Kumar

Retinopathy in Diabetes, Fundus representation, Convolutional Neural Architecture, Image categorization.

Diabetic retinopathy (DR) is a leading cause of blindness in working-age adults and requires early diagnosis and intervention to prevent vision loss. In this study, we present automatic diagnosis using deep learning techniques, especially efficient network architecture, to classify retinal images into different stages of DR. It is a system that facilitates timely treatment and management of patients by increasing the efficiency and accuracy of DR diagnosis. The experimental results demonstrate the effectiveness of the proposed method in accurately identifying DR stages and have high potential for implementation in clinical practice. This study discusses the basics of diabetes, its prevalence, problems, and wisdom on early detection and classification of diabetic retinopathy. This study also discusses AI-based technologies such as machine learning and deep learning. New research areas such as adaptive learning, interdisciplinary learning, and artificial intelligence are also being explored using various communication methods to explain diabetic retinopathy. Current literature, screening, efficacy evaluations, biomarkers of diabetic retinopathy, possible complications and list of ophthalmic complications, and future implications are discussed. There is no other information available from the authors to describe the current status of the PRISMA approach and the experience on which it is based.

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"Diagnosis of Diabetic Retinopathy Using Deep Neural Network ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e349-e353, April-2024, Available :https://ijnrd.org/papers/IJNRD2404439.pdf

Volume 9 Issue 4, April-2024

Pages : e349-e353

Paper Reg. ID: IJNRD_217557

Published Paper Id: IJNRD2404439

Downloads: 000121131

Research Area: Engineering

Country: Meerut, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404439.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404439

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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