Retinal vessels segmentation techniques and algorithms: a survey

J Almotiri, K Elleithy, A Elleithy - Applied Sciences, 2018 - mdpi.com
Retinal vessels identification and localization aim to separate the different retinal
vasculature structure tissues, either wide or narrow ones, from the fundus image background …

Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey

K Radha, Y Karuna - International Journal of Imaging Systems …, 2024 - Wiley Online Library
Diabetes can cause damage to the retina's blood vessels in the eye leading to diabetic
retinopathy (DR). The images captured using a fundus camera are used to segment and …

Analysis of retinal blood vessel segmentation techniques: a systematic survey

KS Kumar, NP Singh - Multimedia Tools and Applications, 2023 - Springer
Abstract Segmentation of Blood Vessel is a challenging mission in medical image
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …

A multi-anatomical retinal structure segmentation system for automatic eye screening using morphological adaptive fuzzy thresholding

J Almotiri, K Elleithy, A Elleithy - IEEE Journal of Translational …, 2018 - ieeexplore.ieee.org
Eye exam can be as efficacious as physical one in determining health concerns. Retina
screening can be the very first clue for detecting a variety of hidden health issues including …

Recent techniques and trends for retinal blood vessel extraction and tortuosity evaluation: a comprehensive review

A Krestanova, J Kubicek, M Penhaker - Ieee Access, 2020 - ieeexplore.ieee.org
Retinal blood vessel segmentation plays an important part in the early diagnosis and
treatment of eye disease. It is a tool for ophthalmologists. Many diseases can be identified by …

Multi-scale and multi-branch convolutional neural network for retinal image segmentation

Y Jiang, W Liu, C Wu, H Yao - Symmetry, 2021 - mdpi.com
The accurate segmentation of retinal images is a basic step in screening for retinopathy and
glaucoma. Most existing retinal image segmentation methods have insufficient feature …

RFARN: Retinal vessel segmentation based on reverse fusion attention residual network

W Liu, Y Jiang, J Zhang, Z Ma - Plos one, 2021 - journals.plos.org
Accurate segmentation of retinal vessels is critical to the mechanism, diagnosis, and
treatment of many ocular pathologies. Due to the poor contrast and inhomogeneous …

联合注意力和Transformer 的视网膜血管分割网络.

蒋芸, 刘文欢, 梁菁 - Computer Engineering & Science …, 2022 - search.ebscohost.com
视网膜血管分割在许多眼科疾病诊断和治疗方面至关重要. 对复杂的视网膜结构及低对比度眼底
图像来说, 准确地分割视网膜图像的血管特征仍具有挑战性. 联合注意力和Transformer …

A review on retinal vessel segmentation and classification methods

S Singh, RK Tiwari - … 3rd International Conference on Trends in …, 2019 - ieeexplore.ieee.org
Retinal vessel segmentation is the essential attribute for retinal disease identification as it
segments the retinal vasculature structure from fundus image. It provides essential …

Retinal vessel segmentation network with joint attention and Transformer

Y JIANG, W LIU, J LIANG - Computer Engineering & Science, 2022 - joces.nudt.edu.cn
Retinal vessel segmentation is critical in the diagnosis and treatment planning of many
ocular diseases. Accurate segmentation of vascular features from retinal images remains …