Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation

Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation

Retinal blood vessel segmentation is a valuable tool for clinicians to diagnose conditions such as atherosclerosis, glaucoma, and age-related macular degeneration. This paper presents a new framework for segmenting blood vessels in retinal images. The framework has two stages: a multi-layer preproce...

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Bibliographic Details
Main Authors: Ahmed Alsayat, Mahmoud Elmezain, Saad Alanazi, Meshrif Alruily, Ayman Mohamed Mostafa, Wael Said
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Diagnostics
Subjects:
retinal image
noise removal
data imputation
data augmentation
GAN
segmentation
Online Access:https://www.mdpi.com/2075-4418/13/21/3364

Internet

https://www.mdpi.com/2075-4418/13/21/3364

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