نتایج جستجو برای: ray tomography computer assisted diagnosis maximum permissible exposure level
تعداد نتایج: 2891736 فیلتر نتایج به سال:
Computed tomography colonoscopy (CTC) is an emerging alternative to conventional colonoscopy for colorectal cancer screening. A series of computer assisted diagnosis (CAD) techniques have been developed for use in CTC. Although high levels of accuracy for polyp detection have been reported, the problem of excessive false positive detections still warrants attention. We present a CAD-CTC techniq...
Hepatic artery aneurysms occur infrequently and are often difficult to diagnose. Non-invasive procedures such as ultrasound or computer assisted tomography have not been considered suitable for definitive diagnosis and angiography is usually required. A patient is described in whom a mycotic hepatic artery aneurysm developed during the course of subacute bacterial endocarditis. The definitive d...
This is the first part of a two-part paper on the application of computer-aided diagnosis to diffuse optical tomography (DOT). An approach for extracting heuristic features from DOT images and a method for using these features to diagnose rheumatoid arthritis (RA) are presented. Feature extraction is the focus of Part 1, while the utility of five classification algorithms is evaluated in Part 2...
OBJECTIVES To evaluate the performance of a computer program designed to facilitate the detection of pulmonary nodules using multidetector computed tomography (MDCT) scans of the chest. METHODS We evaluated 24 consecutive MDCT scans of the chest at the Fleury Diagnostic Imaging Center during the period from October 7 to October 19 of 2006, using a 64-channel CT scanner. The study comprised 12...
conclusions gated spect mpi has a good correlation with echocardiography for the measurement of left ventricular ef, edv, and esv in patients with severe heart failure. however, the absolute values of these functional parameters from echocardiography and gated spect mpi measured with different software packages should not be used interchangeably. results a good correlation was found between ech...
Three-dimensional (3D) computed tomography image models are helpful in reproducing the maxillofacial area; however, they do not necessarily provide an accurate representation of dental occlusion and the state of the teeth. Recent efforts have focused on improvement of dental imaging by replacement of computed tomography with other detailed digital images. Unfortunately, despite the advantages o...
Computer tomography (CT) imaging plays an important role in cancer detection and quantitative assessment in clinical trials. High-resolution imaging studies on large cohorts of patients generate vast data sets, which are infeasible to analyze through manual interpretation. In this article we describe a comprehensive architecture for computer-aided detection (CAD) and surveillance on lung nodule...
The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence ...
در حال حاضر چندین روش برای اندازه گیری چربی زیرپوستی بدن در حوزه های بالینی وجود دارد ، مانند : magnetic resonance imaging(mri)، (computer tomography(ct، ultrasound imaging(us) ، dual energy x-ray absorptiometry(dexa). این روش ها بطور وسیعی در حوزه های بالینی به عنوان وسایل دقیق و مفید ، مورد استفاده قرار می گیرند. به هر حال این روش ها محدودیت های زیادی مانند هزینه بالا و یا خطر تابش اشعه را دا...
Liver segmentation is a significant processing technique for computer-assisted diagnosis. This method has attracted considerable attention and achieved effective result. However, liver segmentation using computed tomography (CT) images remains a challenging task because of the low contrast between the liver and adjacent organs. This paper proposes a feature-learning-based random walk method for...
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