Deep Learning Applications in Healthcare: Diagnosing Diabetic Retinopathy

This paper presents a deep learning model using convolutional neural networks (CNN) for the diagnosis of diabetic retinopathy. The study compares the performance of CNNs with traditional image processing techniques.

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Publication Details

Journal
International Journal for Research Publication and Seminars
Published
2024-10-05
DOI
https://doi.org/10.36676/jrps.v14.i5.1558
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning Applications in Healthcare: Diagnosing Diabetic Retinopathy

Nisha Gupta
International Journal for Research Publication and Seminars
Retinal Imaging and Analysis
article

Deep Learning Applications in Healthcare: Diagnosing Diabetic Retinopathy

Nisha Gupta
article en

Abstract

This paper presents a deep learning model using convolutional neural networks (CNN) for the diagnosis of diabetic retinopathy. The study compares the performance of CNNs with traditional image processing techniques.

International Journal for Research Publication and SeminarsVol. 14(5)
Northern Alberta Institute of Technology (CA)
Openalex Percentile: Top 71%
Retinal Imaging and Analysis
DOIOpen Access PDFOpenAlex
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Deep Learning Applications in Healthcare: Diagnosing Diabetic Retinopathy — Nisha Gupta · International Journal for Research Publication and Seminars (2024) | TGRS Research Map | TGRS