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- Vol. 5 Issue 2
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Design and Implementation of Retinal Eye Disease Detection Based on Machine Learning
Authors
12Professor, Electronics and communication Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur, Maharashtra, India. 3PG Scholar, Electronics and communication Engineering, Tulsiramji Gaikwad-Patil College of Engineering & Technology, Nagpur, Maharashtra, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 2 (2024)
- Published Online
- March-April 2024
- Pages
- 91-93
- Article Type
- Research Article
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- No DOI available for cross-reference
Abstract
View PDFAbstract: Disease, retinal vein occlusion (blockage of a retinal vein), or diabetes mellitus, which induces fragility in blood vessels, making them prone to damage. The presence of hemorrhages in the retina serves as a primary indicator of diabetic retinopathy. The severity of the disease can be assessed based on the number and morphology of these hemorrhages. This study aims to achieve several objectives, including the detection of blood vessels, identification of hemorrhages, and classification of diabetic retinopathy into traditional, moderate, and non-proliferative stages (NPDR).
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