Statistical evaluation of the passive structure for the vessel detection is considered. The passive detection structure is based on the statistical likelihood ratio test and on the Neyman-Pearson statistical criterion. The assumption is that a vessel is approximately so-called noisy vessel. It means that the underwater acoustic vessel noise is approximately a stationary ergodic stochastic zero ...

The detection and assessment of leakage in retinal fluorescein angiogram images is important for the management of a wide range of retinal diseases. We have developed a framework that can automatically detect three types of leakage (large focal, punctate focal, and vessel segment leakage) and validated it on images from patients with malarial retinopathy. This framework comprises three steps: v...

In laparoscopic surgery, because of lack of tactile sensation and 3D visual feedback, it is difficult to identify a blood vessel position intraoperatively. We combined the color and geometry in two steps of Neural Network image processing. Application of LVQ (Learning vector quantization) neural networks has enabled the system to overcome the complexity of distribution of samples. The performan...

Maritime vessel detection is an important part of maritime safety and at its heart lies detection of vessels in satellite imagery. Current developments have made the detection of small vessels particularly important as pronounced by the International Maritime Organization. The growing availability of high-quality (sub-meter resolution) images has made feasible the detection of small vessels tha...

objectives to evaluate predictive value of vessel specific coronary artery calcium (cac) score in predicting obstructive coronary artery disease. patients and methods in this diagnostic test study we evaluated patients with coronary computed tomography angiography (ccta) and cac score which had been referred to two referral radiology center in tehran, iran and finally we selected 2525 patients ...