A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification
MRK Mookiah, S Hogg, TJ MacGillivray, V Prathiba… - Medical Image …, 2021 - Elsevier
The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …
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 …
Lightweight attention convolutional neural network for retinal vessel image segmentation
Retinal vessel image is an important biological information that can be used for personal
identification in the social security domain, and for disease diagnosis in the medical domain …
identification in the social security domain, and for disease diagnosis in the medical domain …
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Retinal blood vessel segmentation in fundus images plays an important role in the early
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
diagnosis and treatment of retinal diseases. In recent years, the segmentation methods …
Retinal vessel segmentation based on fully convolutional neural networks
The retinal vascular condition is a reliable biomarker of several ophthalmologic and
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and …
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
S Wang, Y Yin, G Cao, B Wei, Y Zheng, G Yang - Neurocomputing, 2015 - Elsevier
Segmentation of retinal blood vessels is of substantial clinical importance for diagnoses of
many diseases, such as diabetic retinopathy, hypertension and cardiovascular diseases. In …
many diseases, such as diabetic retinopathy, hypertension and cardiovascular diseases. In …
Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images
Automated detection of blood vessel structures is becoming of crucial interest for better
management of vascular disease. In this paper, we propose a new infinite active contour …
management of vascular disease. In this paper, we propose a new infinite active contour …
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model
ME Gegundez-Arias, D Marin-Santos… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: Automatic monitoring of retinal blood vessels proves
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This …
Retinal vessel segmentation in colour fundus images using extreme learning machine
Attributes of the retinal vessel play important role in systemic conditions and ophthalmic
diagnosis. In this paper, a supervised method based on Extreme Learning Machine (ELM) is …
diagnosis. In this paper, a supervised method based on Extreme Learning Machine (ELM) is …
Blood vessel segmentation from fundus image by a cascade classification framework
Accurate segmentation of retinal vessel from fundus image is a prerequisite for the computer-
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …