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This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantitatively evaluate fifteen different airway tree extraction algorithms in a standardized manner. Because of the sheer difficulty involved in manually constructing a complete reference standard from scratch, we propose to construct the reference(More)
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual vessel segmentation is prohibitively time consuming, any(More)
The purpose of this study was to determine whether distortion product otoacoustic emissions (DPOAEs) can be used to distinguish among four groups with audiometrically normal-hearing sensitivity: (1) control adults without tinnitus or hyperacusis, (2) patients with tinnitus alone, (3) patients with hyperacusis alone, and (4) patients with both tinnitus and(More)
Yarn hairiness is one of the key parameters influencing fabric quality. In this paper image processing and analysis algorithms developed for an automatic determination of yarn hairiness are presented. The main steps of the proposed algorithms are as follows: image preprocessing, yarn core extraction using graph cut method, yarn segmentation using high pass(More)
Recently, computer vision systems have become very popular. They are of great importance in almost every field of science, engineering and industry. Present-day vision systems allow to obtain information that is normally not distinguishable by humans. It is possible due to use of appropriate digital image processing and analysis algorithms. The paper(More)
This paper considers the problem of image segmentation using the random walker algorithm. In the case of 3D images, the method uses an extreme amount of memory and time resources. These are required in order to represent the corresponding enormous image graph and to solve the resulting sparse linear system. Having in mind these limitations, this paper(More)
BACKGROUND The aim of this study was to evaluate distortion product otoacoustic emissions (DPOAEs) and extended high-frequency (EHF) thresholds in a control group and in patients with normal hearing sensitivity in the conventional frequency range and reporting unilateral tinnitus. MATERIAL/METHODS Seventy patients were enrolled in the study: 47 patients(More)
AIM The objective of this study was to estimate the prevalence of the tinnitus in 7- and 12-year-old children in Poland. MATERIAL AND METHODS In this study 118,005, 7-year-old children and 23,339, 12-year-old children and their parents were asked about the presence of tinnitus by answering a questionnaire. 7-year-old children were asked by tester if they(More)
The paper addresses problem of pulmonary airways investigation based on high-resolution multidetector computed tomography (MDCT) chest scans. Especially it presents new, fully automated algorithm for airway tree segmentation. The algorithm uses two passes of 3D seeded region growing. First pass is applied for obtaining the initial (rough) airway tree. The(More)
This paper addresses problem of CT based investigation of pulmonary airways. Especially algorithm for airway tree segmentation is introduced. The algorithm is based on 3D seeded region growing. In the proposed method region growing is repeated twice with different settings. First, in order to avoid leakages into the lungs, algorithm is performed with very(More)