Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
Blood vessel segmentation methodologies in retinal images–a survey
Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …
disease screening systems. This work examines the blood vessel segmentation …
Trainable COSFIRE filters for vessel delineation with application to retinal images
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical
pathologies. The automatic segmentation of the vessel tree is an important pre-processing …
pathologies. The automatic segmentation of the vessel tree is an important pre-processing …
A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features
D Marín, A Aquino… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper presents a new supervised method for blood vessel detection in digital retinal
images. This method uses a neural network (NN) scheme for pixel classification and …
images. This method uses a neural network (NN) scheme for pixel classification and …
Retinal vessel extraction by matched filter with first-order derivative of Gaussian
Accurate extraction of retinal blood vessels is an important task in computer aided diagnosis
of retinopathy. The matched filter (MF) is a simple yet effective method for vessel extraction …
of retinopathy. The matched filter (MF) is a simple yet effective method for vessel extraction …
Retinal vessel segmentation by improved matched filtering: evaluation on a new high‐resolution fundus image database
Automatic assessment of retinal vessels plays an important role in the diagnosis of various
eye, as well as systemic diseases. A public screening is highly desirable for prompt and …
eye, as well as systemic diseases. A public screening is highly desirable for prompt and …
Guidance image-based enhanced matched filter with modified thresholding for blood vessel extraction
Fundus images have been established as an important factor in analyzing and recognizing
many cardiovascular and ophthalmological diseases. Consequently, precise segmentation …
many cardiovascular and ophthalmological diseases. Consequently, precise segmentation …
An approach to localize the retinal blood vessels using bit planes and centerline detection
The change in morphology, diameter, branching pattern or tortuosity of retinal blood vessels
is an important indicator of various clinical disorders of the eye and the body. This paper …
is an important indicator of various clinical disorders of the eye and the body. This paper …
Segmentation of the blood vessels and optic disk in retinal images
Retinal image analysis is increasingly prominent as a nonintrusive diagnosis method in
modern ophthalmology. In this paper, we present a novel method to segment blood vessels …
modern ophthalmology. In this paper, we present a novel method to segment blood vessels …
Dual-path multi-scale context dense aggregation network for retinal vessel segmentation
There has been steady progress in the field of deep learning-based blood vessel
segmentation. However, several challenging issues still continue to limit its progress …
segmentation. However, several challenging issues still continue to limit its progress …