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The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication of diabetes. To accomplish this detection numerous methods have been published in the past but none of these was compared with each other on the same data. In this work we present the(More)
The purpose of this study is to develop a technique for computer-aided diagnosis (CAD) systems to detect lung nodules in helical X-ray pulmonary computed tomography CT) images. We propose a novel template-matching technique based on a genetic algorithm (GA) template matching (GATM) for detecting nodules existing within the lung area; the GA was used to(More)
The aim of this paper is to describe three emerging computer-aided diagnosis (CAD) systems induced by Japanese health care needs. CAD has been developing fast in the last two decades. The idea of using a computer to help in medical image diagnosis is not new. Some pioneer studies are dated back to the 1960s. In 1998, the first U.S. FDA (Food and Drug(More)
The behavior of cells is generally considered to be regulated by environmental factors, but the molecules in the milieu of neural stem cells have been little studied. We found by immunohistochemistry that chondroitin sulfate (CS) existed in the surroundings of nestin-positive cells or neural stem/progenitor cells in the rat ventricular zone of the(More)
We have previously demonstrated that long-term inhibition of Rho-kinase ameliorates pulmonary arterial hypertension (PAH) in animal models. In the present study, we examined acute vasodilator effects of inhaled fasudil, a specific Rho-kinase inhibitor, as a more feasible option to locally deliver the drug for PAH. We examined 15 patients with PAH (13 women(More)
A probabilistic model was proposed in this research for fully-automated segmentation of liver region in non-contrast X-ray torso CT images. This probabilistic model was composed of two kinds of probability that show the location and density (CT number) of the liver in CT images. The probability of the liver on the spatial location was constructed from a(More)
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In this paper, we address this landmark-based shape-correspondence problem for 3D cases by developing a highly efficient landmark-sliding algorithm. This algorithm is able to quickly refine all the landmarks in(More)
BACKGROUND A number of association studies have focused on the effect of polymorphisms related to DNA repair or the xenobiotic pathway, on the susceptibility to gastric cancer (GC). Here, the possible association between common polymorphisms in the X-ray repair cross-complementing groups (XRCC) 1, and glutathione-S-transferase (GST) genes and various(More)
The purpose of this study was to evaluate acoustic noise in echo planar imaging (EPI) at various magnetic resonance imaging (MRI) centers and to compare EPI acoustic noise with that in other fast pulse sequences. We measured A-weighted root-mean-square sound pressure levels and peak impulse sound pressure levels for EPI, under the same conditions, in eleven(More)
This paper describes an improved method for detecting hemorrhages in fundus images. The detection of hemorrhages is one of the important factors in the early diagnosis of diabetic retinopathy. So, we had suggested several methods for detecting abnormalities in fundus images, but our methods had some problems. We propose a new method for preprocessing and(More)