Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current …
Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …
techniques for the segmentation and classification of retinal vessels, the application of which …
Diabetic retinopathy detection and classification using capsule networks
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who
suffer from diabetes. Early and timely detection of this problem is critical for a good …
suffer from diabetes. Early and timely detection of this problem is critical for a good …
A comprehensive study of retinal vessel classification methods in fundus images
Nowadays, it is obvious that there is a relationship between changes in the retinal vessel
structure and diseases such as diabetic, hypertension, stroke, and the other cardiovascular …
structure and diseases such as diabetic, hypertension, stroke, and the other cardiovascular …
Retinal artery-vein classification via topology estimation
R Estrada, MJ Allingham, PS Mettu… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
We propose a novel, graph-theoretic framework for distinguishing arteries from veins in a
fundus image. We make use of the underlying vessel topology to better classify small and …
fundus image. We make use of the underlying vessel topology to better classify small and …
SA-Net: A scale-attention network for medical image segmentation
J Hu, H Wang, J Wang, Y Wang, F He, J Zhang - PloS one, 2021 - journals.plos.org
Semantic segmentation of medical images provides an important cornerstone for
subsequent tasks of image analysis and understanding. With rapid advancements in deep …
subsequent tasks of image analysis and understanding. With rapid advancements in deep …
RVD: a handheld device-based fundus video dataset for retinal vessel segmentation
Retinal vessel segmentation is generally grounded in image-based datasets collected with
bench-top devices. The static images naturally lose the dynamic characteristics of retina …
bench-top devices. The static images naturally lose the dynamic characteristics of retina …
[HTML][HTML] Artery–vein segmentation in fundus images using a fully convolutional network
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular
diseases, coronary heart disease and stroke. Different metrics have been described to …
diseases, coronary heart disease and stroke. Different metrics have been described to …
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio
Hypertensive Retinopathy (HR) caused by hypertension is a retinal disease which may
leads to vision loss and blindness. Computer aided diagnostic systems for various diseases …
leads to vision loss and blindness. Computer aided diagnostic systems for various diseases …
Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy
Abstract Background and objectives Hypertensive Retinopathy (HR) is a retinal disease
which happened due to consistent high blood pressure (hypertension). In this paper, an …
which happened due to consistent high blood pressure (hypertension). In this paper, an …
[HTML][HTML] Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
Background and objectives The study of the retinal vasculature represents a fundamental
stage in the screening and diagnosis of many high-incidence diseases, both systemic and …
stage in the screening and diagnosis of many high-incidence diseases, both systemic and …