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BACKGROUND The JPEG 2000 compression technique has recently been introduced into the medical imaging field. It is critical to understand the effects of this technique on the detection of breast masses on digitized images by human observers. PURPOSE To evaluate whether lossless and lossy techniques affect the diagnostic results of malignant and benign(More)
OBJECTIVES To evaluate the clinical value of noise-based tube current reduction method with iterative reconstruction for obtaining consistent image quality with dose optimization in prospective electrocardiogram (ECG)-triggered coronary CT angiography (CCTA). MATERIALS AND METHODS We performed a prospective randomized study evaluating 338 patients(More)
PURPOSE To investigate the potential of noise-based tube current reduction method with iterative reconstruction to reduce radiation exposure while achieving consistent image quality in coronary CT angiography (CCTA). MATERIALS AND METHODS 294 patients underwent CCTA on a 64-detector row CT equipped with iterative reconstruction. 102 patients with fixed(More)
Premature ovarian failure (POF) is a long-term adverse effect of chemotherapy treatment. However, current available treatment regimens are not optimal. Emerging evidence suggests that bone marrow-derived mesenchymal stem cells (BMSCs) could restore the structure and function of injured tissues, but the homing and restorative effects of BMSCs on chemotherapy(More)
BACKGROUND Paper printers have been used to document radiological findings in some hospitals. It is critical to establish whether paper printers can achieve the same efficacy and quality as dry laser printers for full-field digital mammography (FFDM). PURPOSE To compare the image quality and detection rate of dry laser printers and paper printers for(More)
Minimal test cost attribute reduction is an important issue in cost-sensitive learning. Recently, an information gain based heuristic algorithm has been designed to this problem. However, the algorithm does not often find the optimal solution. In this paper, we develop an ant colony optimization algorithm to deal with this problem. First, the attribute set(More)
Test cost is often required to obtain feature values of an object. When this issue is involved, people are often interested in schemes minimizing it. In many data mining applications, due to economic, technological and legal reasons , it is neither possible nor necessary to obtain a classifier with 100% accuracy. There may be an industrial standard to(More)
In many machine learning applications, we need to pay test cost for each data item. Due to limited money and/or time, we also have a constraint on the total test cost. This issue have been recently formalized as the optimal sub-reduct with test cost constraint problem. An information gain based heuristic algorithm has been proposed to deal with it. In this(More)
The purpose of this study was to compare diagnostic accuracy by using two types of monitors. Four radiologists with 10 years experience twice interpreted the films of 77 fracture cases by using the ViewSonic P75f+ and BARCO MGD221 monitors, with a time interval of 3 weeks. Each time the radiologists used one type of monitor to interpret the images. The(More)