Availability of domain-specific datasets is an essential problem in object detection. Datasets inshore and offshore maritime vessels are no exception, with a limited number studies addressing vessel detection on such datasets. For that reason, we collected dataset consisting images taking into account different factors: background variation, atmospheric conditions, illumination, visible proport...

Multi-category vessel detection and classification based on satellite imagery attract a lot of attention due to their significant applications in the military civilian domains. In this study, we generated new Artificial-SAR-Vessel dataset combination FUSAR-Ship SimpleCopyPaste method. We further proposed novel multi-category called CRAS-YOLO which consisted convolutional block module (CBAM), re...

This paper deals with a model of the total vessel traffic control process. This includes human operator (HO) functioning as the human factor plays a dominant role in the complex vessel traffic process. Also the vessel traffic services (VTS) is modeled in it’s possible role of monitor, conflict detector and advisor of the total vessel traffic system. This implies a number of ships, with a given ...

The retinal vessel width relationship at vessel branch points in fundus images is an important biomarker of retinal and systemic disease. We propose a fully automatic method to measure the vessel widths at branch points in fundus images. The method is a graph-based method, in which a graph construction method based on electric field theory is applied which specifically deals with complex branch...

Neurosurgeries to remove pituitary tumors using the endonasal, transsphenoidal approach often incur the risk of patient death caused by injury to the carotid arteries hidden by surrounding sphenoid bone. To avoid this risk, we propose intraoperative photoacoustic vessel visualization with an optical fiber attached to the surgical tool and an external ultrasound transducer placed on the temple. ...

This paper proposes enhancements to the deformable models. Focusing on the problem of vessel segmentation, two general methods for improving the performance of the snakes are explained. The snake framework has a critical step when using the energy minimising scheme applied to the segmentation problem in computer vision: the potential map is based on the output of a low level feature detection o...

Glaucoma, a leading cause of blindness worldwide, is a progressive optic neuropathy with characteristic structural changes in the optic nerve head and concomitant visual field defects. Ocular hypertension (i.e. elevated intraocular pressure without glaucoma) is the most important risk factor to develop glaucoma. Even though a number of variables, including various optic disc and visual field pa...

We present a novel method for localization of large blood vessels using a bioimpedance based needle positioning system on an array of ten monopolar needle electrodes. The purpose of the study is to develop a portable, low cost tool for rapid vascular access for cooling and controlled reperfusion of cardiac arrest patients. Preliminary results show that localization of blood vessels is feasible ...

A method for detecting and isolating incipient leakages in the valves of a pulverized coal injection vessel for a blast furnace process is presented. Nonlinear physical gray-box models of the plant are developed. Values of the unknown parameters are estimated by identification. Observers are constructed for these models and the residuals are used in a generalized likelihood ratio test. The meth...

Background: Studies of lymphatic vessels were limited by the lack of specific markers. Recently, they have become possible due to the release of new D2-40 antibody, a selective marker for lymphatic endothelium. The aim of our study was to compare neoplastic invasion in lymphatic and blood vessels detected in hematoxylin and eosin (H&E) and immunohistochemistry-stained sections. Methodology: A t...