Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model
The incidence of diabetes has increased in recent times due to factors such as obesity and genetic predisposition. Diabetes wears out the eye vessels over time. Diabetic retinopathy (DR) is a serious disease that leads to vision problems. DR can be diagnosed by specialists who examine the fundus ima...
Saved in:
Main Authors: | Cihan Akyel, Bünyamin Ciylan |
---|---|
Format: | Article |
Language: | English |
Published: |
Çanakkale Onsekiz Mart University
2024-09-01
|
Series: | Journal of Advanced Research in Natural and Applied Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/3921746 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures
by: Mohamed Chetoui, et al.
Published: (2025-01-01) -
Classification of diabetic retinopathy stages based on neural networks
by: M. M. Lukashevich, et al.
Published: (2022-12-01) -
Sandpiper Optimization Algorithm With Region Growing Based Robust Retinal Blood Vessel Segmentation Approach
by: Ibrahim AlMohimeed, et al.
Published: (2024-01-01) -
DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer
by: Mohamed Touati, et al.
Published: (2025-01-01) -
Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset
by: Asadi Srinivasulu, et al.
Published: (2024-03-01)