VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning

The model with its modular architecture allows easy integration and holds great potential for revolutionizing DR detection by democratizing access to accurate and timely screening, particularly in resource-limited settings.

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Publication Details

Journal
Expert Review of Medical Devices
Published
2025-03-29
DOI
https://doi.org/10.1080/17434440.2025.2486476
Citations
3
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
4.08
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article

VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning

Vikas Marakini, Sudesh Rao, Sanjeev D Kulkarni
3 citations
Expert Review of Medical Devices
Retinal Imaging and Analysis
4.08
article

VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning

Vikas Marakini, Sudesh Rao, Sanjeev D Kulkarni
article en
3 citations

Abstract

The model with its modular architecture allows easy integration and holds great potential for revolutionizing DR detection by democratizing access to accurate and timely screening, particularly in resource-limited settings.

Expert Review of Medical DevicesVol. 22(5)
Mangalore University (IN), Sri Sri University (IN)
Openalex Percentile: Top 7%
Retinal Imaging and Analysis
4.08
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VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning — Vikas Marakini, Sudesh Rao, et al. · Expert Review of Medical Devices (2025) | TGRS Research Map | TGRS