Digital Library of Zielona Góra contains 9 272 digital objects
Object
Title: Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution
Creator:
Sri Sravya, Valluri ; Naga Srinivasu, Parvathaneni ; Shafi, Jana ; Hołubowski, Waldemar ; Zielonka, Adam
Date:
Resource Type:
Contributor:
Woźniak, Marcin - ed. ; Kumar, Yogesh - ed. ; Ijaz, Muhammad Fazal - ed.
Subtitle:
Group publication title:
Abstract:
Diabetic retinopathy (DR) can cause blindness and vision impairment. This degenerative eye condition may lead to an irreversible vision loss. The prevalence of vision impairment and blindness caused by DR emphasizes the critical need for better screening and therapy measures. DR aetiology involves persistent hyperglycemia-induced microvascular abnormalities, oxidative stress, inflammatory reactions, and retinal blood flow changes. Common screening methods for retinal issues include fundus photography, OCT, and fluorescein angiography. For those with diabetic macular edema (DME), it is a common cause of vision loss. ; Our goal is to develop an automated, cost-effective method for identifying diabetic retinal disease specimens. This study introduces a faster R-CNN method for detecting and classifying DR lesions in retinal images. Those are classified across five different classes. An extensive analysis of 88,704 images from a Kaggle dataset indicates the efficiency of the proposed model, with a reasonable accuracy of 98.38%. The proposed method is robust in disease localization and classification tasks and it has outperformed other existing studies in DR recognition. On evaluating cross-datasets in Kaggle and APTOS, the model has yield better results during training and testing phases.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 34, number 4 (2024) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2024)
Last modified:
Aug 5, 2025
In our library since:
Aug 5, 2025
Number of object content hits:
17
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/101894
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 34, number 1 (2024)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 34, number 2 (2024)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 34, number 3 (2024)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 34, number 4 (2024)
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| Edition name | Date |
|---|---|
| Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution | Aug 5, 2025 |
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