Retinal vessel segmentation based on fully convolutional networks
Z Liu - arXiv preprint arXiv:1911.09915, 2019 - arxiv.org
The morphological attributes of retinal vessels, such as length, width, tortuosity and
branching pattern and angles, play an important role in diagnosis, screening, treatment, and …
branching pattern and angles, play an important role in diagnosis, screening, treatment, and …
Multi-level deep supervised networks for retinal vessel segmentation
J Mo, L Zhang - International journal of computer assisted radiology …, 2017 - Springer
Purpose Changes in the appearance of retinal blood vessels are an important indicator for
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
various ophthalmologic and cardiovascular diseases, including diabetes, hypertension …
Retinal vessel segmentation in fundus images using convolutional neural network
The structure of retinal vessel can reflect health status of patients, and a clear representation
of retinal vessel map helps ophthalmologist to make diagnosis of some disease, such as …
of retinal vessel map helps ophthalmologist to make diagnosis of some disease, such as …
Deep ensemble learning for accurate retinal vessel segmentation
L Du, H Liu, L Zhang, Y Lu, M Li, Y Hu… - Computers in Biology and …, 2023 - Elsevier
Significant progress has been made in deep learning-based retinal vessel segmentation in
recent years. However, the current methods suffer from low performance and the robust of …
recent years. However, the current methods suffer from low performance and the robust of …
A review of retinal vessel segmentation for fundus image analysis
Q Qin, Y Chen - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The fundus is the only region where arteries, veins and capillaries can be directly observed.
Morphological changes of retinal vessels in the fundus are signals for the appearance of …
Morphological changes of retinal vessels in the fundus are signals for the appearance of …
DUNet: A deformable network for retinal vessel segmentation
Automatic segmentation of retinal vessels in fundus images plays an important role in the
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose …
Construction of retinal vessel segmentation models based on convolutional neural network
Segmentation of retinal vessels in fundus images plays a very important role in diagnosing
relevant diseases. In this paper, we have constructed automated segmentation models for …
relevant diseases. In this paper, we have constructed automated segmentation models for …
Retinal vessel segmentation using deep learning: a review
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Accurate segmentation of retinal vessels from fundus images is fundamental for the
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
diagnosis of numerous diseases of eye, and an automated vessel segmentation method can …
Extended U-net for retinal vessel segmentation
H Boudegga, Y Elloumi, R Kachouri… - International Conference …, 2022 - Springer
The retinal vascular tree is an important biomarker for the diagnosis of ocular disease,
where an efficient segmentation is highly required. Recently, various standard Convolutional …
where an efficient segmentation is highly required. Recently, various standard Convolutional …