ABSTRACT: Diabetic retina is a result of increase in the blood glucose level leading to damage of retinal blood vessels causing temporary or permanent blindness. The increase in number of cases of diabetic retina emphasizes the need of early detection before it reaches the severe stage. The diabetic retina unless other type of medical scans has multiple clots of bloods inside the vessels. Hence...

Retinal image analysis plays vital role in many applications, such as finding out ocular fund us and early stage detection of some disease. Even though there is more advanced technologies for human recognition process this retinal image analysis concentrates on the human iris authentication purpose. Since both the similar person can’t have the same retinal blood vessels. As per this paper conce...

Abstract Patients with diabetes are more likely to have eye problems such as cataracts and glaucoma, but the diseases will affect on the retina is the main problem to vision. Diabetic retinopathy is one of the major causes of human abnormalities or even blindness. Early detection of such an abnormality can provide proper treatment and most of the visual loss can be prevented. The algorithm is t...

Deep convolutional neural networks have achieved great results on image classification problems. In this paper, a new method using a deep convolutional neural network for detecting blood vessels in Bmode ultrasound images is presented. Automatic blood vessel detection may be useful in medical applications such as deep venous thrombosis detection, anesthesia guidance and catheter placement. The ...

Arterial stenosis is one of the main vascular diseases that are treated with minimally invasive surgery approaches. The aim this study was to provide a tool support medical doctor in planning endovascular surgery, allowing rapid detection stenotic vessels and quantification stenosis. Skeletonization used improve vessels’ visualization. distance transform obtain linear representation diameter cr...

Chein-I Chang, MEMBER SPIE University of Maryland—Baltimore County Department of Computer Science and Electrical Engineering Baltimore, Maryland 21250 E-mail: [email protected] Abstract. The detection of venous beading in retinal images provides an early sign of diabetic retinopathy and plays an important role as a preprocessing step in diagnosing ocular diseases. We present a computer-aided diag...

Detection of tubular structures in 3D images is an important issue for vascular medical imaging. We present in this paper a new approach for centerline detection and reconstruction of 3D tubular structures. Several models of vessels are introduced for estimating the sensitivity of the image second order derivatives according to elliptical cross-section, to curvature of the axis, or to partial v...

The field of ophthalmology (the study of the eye) has increasingly turned to medical imaging to play an important role in diagnosing diseases. Widespread medical conditions can be identified with only pictures of the eye using computer automated processes. Determining the segmentation of the circulatory system in the eye is difficult for doctors as the task of distinguishing blood vessels by si...

Despite the efforts on reducing maritime accidents, they still occur and, from time to time, have catastrophic consequences both in personal, environmental and financial terms. Structural failure is the major cause of ships wreckages and, as such, Vessel Classification Societies impose extensive inspection schemes for assessing the structural integrity of vessels. The external and internal part...

To study the newly mentioned significance of the obstructive lesion morphology in coronary artery disease (CAD), a study has been designed to compare this feature between patients having stable angina (SA) or unstable angina (UA) who underwent coronary angiography in Tehran Heart Institute. Study objectives were detection of the angina producing artery (AP A) and its morphologic lesion typ...