نتایج جستجو برای: chest radiographs image enhancement
تعداد نتایج: 574089 فیلتر نتایج به سال:
BACKGROUND Supine anteroposterior (AP) chest radiography is an insensitive test for detecting posttraumatic pneumothoraces (PTXs). Computed tomography (CT) often identifies occult pneumothoraces (OPTXs) not diagnosed by chest radiography. All previous literature describes the epidemiology of OPTX in patients with blunt polytrauma. Our goal was to identify the frequency of OPTXs in patients with...
The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (ROI). We derive our new image processing models based on the International Labor Organization (ILO) standard for assessing opacity shape and profusion. Pattern Spectrum analysis is used for opacity shape and profusion m...
Chest radiograph ribs obstruct lung nodules. To see the nodule under chest ribs, remove or suppress them. The paper describes a circular median filter approach for finding outliers in radiographs. method uses 147 Japanese Society of Radiological Technology x-ray pictures (JSRT). Pixels with intensities two standard deviations above are outliers. Contrast-Limited Adaptive Histogram Equalization ...
PURPOSE The purpose of this study was to find out whether pneumothorax detection and exclusion is superior in expiratory digital chest radiography. MATERIALS AND METHODS 131 patients with pneumothorax with paired inspiratory and expiratory chest radiographs were analyzed regarding localization and size of pneumothorax. Sensitivity, specificity, negative (npv) and positive predictive value (pp...
Computer-aided Diagnosis (CAD) systems can assist radiologists in several diagnostic tasks. Lung segmentation is one of the mandatory steps for initial detection of lung cancer in Posterior-Anterior chest radiographs. On the other hand, many CAD schemes in projection chest radiography may benefit from the suppression of the bony structures that overlay the lung fields, e.g. ribs. The original i...
The aim of this study was to evaluate the accuracy of some commonly used cephalometric landmarks of monitor-displayed images with and without image emboss enhancement. The following null hypothesis was tested: there is no improvement in landmark detection accuracy between monitor-displayed images, with and without image embossing enhancement. Forty lateral cephalometric radiographs, taken from ...
The purpose of the study was to compare effectiveness various artificial intelligence systems for detecting foci and rounded lesions in lungs. For testing, we selected four software products based on convolutional neural networks, positioning themselves as a sensitive system evaluating digital chest radiographs. An analytical validation method used clinical evaluation. diagnostics, 3 data sampl...
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