An automated method for measurement of arteriolar-to-venular diameter ratio (AVR) is presented. The method includes optic disc segmentation for the determination of the AVR measurement zone, retinal vessel segmentation, vessel classification into arteries and veins, selection of major vessel pairs, and measurement of AVRs. The sensitivity for the major vessels in the measurement zone was 87%, w...

The structure of retinal vessels is a prominent feature, that reveals information on the state of disease that are reflected in the form of measurable abnormalities in thickness and colour. Vascular structures of retina, for implementation of clinical diabetic retinopathy decision making system is presented in this paper. Retinal Vascular structure is with thin blood vessel, whose accuracy is h...

Retina image quality is affected by numerous factors including aging, refractive condition, and media opacity. Distracters that exist in certain age groups may not be present in another. This is evident when the retinal nerve fiber is more visible in younger age group, tricking the vessel segmentation algorithm to label it as vessel thus affecting the specificity performance of the supervised r...

Diabetic retinopathy, Glaucoma, Hypertension are the most common sight threatening eye diseases due to the changes in the blood vessel structure. The retinal blood vessel segmentation helps to identify the successive stages of a these diseases and thus helps to treat them at early stages. Blood vessel segmentation by making use of multilayer perceptron neural network is one such technique used ...

Vessel segmentation is an important prerequisite for many medical applications. While automatic vessel segmentation is an active field of research, interaction and visualization techniques for semi-automatic solutions have gotten far less attention. Nevertheless, since automatic techniques do not generally achieve perfect results, interaction is necessary. Especially for tasks that require an i...

Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye disorders, and consistent computerized method required automatic disorder screening. Many methods are implemented, but these only yielded accuracy lack good sensitivity due to the coherence segmentation. Another main factor low proper technique handle low-varying contrast problem. In this study, we p...

In the present study, a hybrid semi-supervised pixel-based classification algorithm is proposed for the automatic segmentation of intracranial aneurysms in Computed Tomography Angiography images. The algorithm was designed to discriminate image pixels as belonging to one of the two classes: blood vessel and brain parenchyma. Its accuracy in vessel and aneurysm detection was compared with two ot...

Automated blood vessel segmentation plays an important role in the diagnosis and treatment of various cardiovascular and ophthalmologic diseases. In this paper, a novel unsupervised segmentation algorithm is proposed to extract blood vessels from fundus images. At first, an enhanced vessel image is generated by morphological reconstruction, and then divided into three parts: preliminary vessel ...