A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures

A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures

<b>Background:</b> Retinal blood vessel segmentation plays an important role in diagnosing retinal diseases such as diabetic retinopathy, glaucoma, and hypertensive retinopathy. Accurate segmentation of blood vessels in retinal images presents a challenging task due to noise, low contras...

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Bibliographic Details
Main Authors: Mohamed Chetoui, Moulay A. Akhloufi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomedicines
Subjects:
deep learning
blood vessel
U-Net
diabetic retinopathy
image segmentation
medical imaging
Online Access:https://www.mdpi.com/2227-9059/13/1/141
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