IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detection, especially the external adventitia layer, plays a central role in morphological measures and, thus, their segmentation feeds development of medical imaging techniques. Deterministic approaches fail to yield optima...

In this paper, we propose a novel tubular structure segmentation method, which is based on an intensity-based tensor that fits to a vessel. Our model is initialized with a single seed point and it is capable of capturing whole vessel tree by an automatic branch detection algorithm. The centerline of the vessel as well as its thickness is extracted. We demonstrated the performance of our algorit...

Illegal, unreported, and unregulated (IUU) fishing has become a very profitable business, with nearly $23.5 billion worth of fish stolen from the world’s oceans. Every year business grows efficiently, Illegal is one big back steps in this business. Furthermore, many populations are pushed to extinction. This paper proposes illegal detection using data analytics machine learning techniques....

Background and Aims : To explore the clinical value of circulatory miR-21-5p as an early non-invasive biomarker for coronary artery disease (CAD) patients degree stenosis.Methods: Invasive angiographically confirmed 87 multivessel lesion CAD, 73 double vessel 35 single CAD healthy subjects were enrolled in this study.Results: Circulatory plasma expressions gradually significantly elevated singl...

Continuous monitoring of naval activities of vast areas, hundreds of nautical miles away from shoreline, is one of todays most challenging problems. To enable total maritime awareness in these areas, the use of satellite-based sensors is an efficient and cost-effective way to perform this task. The KINGFISHER (Figure 1) is a maritime multi-layer intelligence system created for an in-depth analy...

The paper integrates demands for safe processing and fault detection techniques. An early detection of the fault occurrence is vitally important since it contributes to avoidance of product deterioration, performance degradation, major damages to the machinery itself and damages to human health or even loss of lives. Some fault detection methods using analytical redundancy are described and pri...

In this paper presents , segmentation of blood vessels in retinal images based on neural network (NN) scheme of gray-level and moment invariants-based features. In the past, rural based methods are used segment the blood vessels. It has more complexity and less accuracy of blood vessels detection in retinal images. This paper proves better performance in terms of blood vessel detection in stare...

The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the...