• Journal of Yeungnam Medical Science
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• v.26 no.2
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• pp.130-136
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• 2009

Polyarteritis nodosa (PAN) is a systemic necrotizing vasculitis that typically affects the medium-sized muscular arteries, with occasional involvement of the small muscular arteries. As with other vasculitides, PAN can affect any organ system, including the cardiovascular, gastrointestinal and central nervous systems. The prognosis for patients with untreated PAN is relatively poor, with five-year survival rates of approximately 13 percent. The outcome has improved with proper therapy to approximately 80 percent survival at five years. We report here on a case of a 46 year old man with polyarteritis nodosa and who suffered from pulmonary tuberculosis.

• Journal of Korea Multimedia Society
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• v.23 no.6
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• pp.729-737
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• 2020

Screening with low-dose spiral computed tomography (LDCT) has been shown to reduce lung cancer mortality by about 20% when compared to standard chest radiography. One of the problems arising from screening programs is that large amounts of CT image data must be interpreted by radiologists. To solve this problem, automated detection of pulmonary nodules is necessary; however, this is a challenging task because of the high number of false positive results. Here we demonstrate detection of pulmonary nodules using six off-the-shelf convolutional neural network (CNN) models after modification of the input/output layers and end-to-end training based on publicly databases for comparative evaluation. We used the well-known CNN models, LeNet-5, VGG-16, GoogLeNet Inception V3, ResNet-152, DensNet-201, and NASNet. Most of the CNN models provided superior results to those of obtained using customized CNN models. It is more desirable to modify the proven off-the-shelf network model than to customize the network model to detect the pulmonary nodules.

• Journal of Yeungnam Medical Science
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• v.11 no.2
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• pp.221-229
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• 1994

Tuberous sclerosis is reported rarely and is associated with systemic lesions including central nervous system, skin, heart, eye and kidney. Approximately 5-15% of individuals with tuberous sclerosis will develope brain neoplasia, almost invariably subependymal giant-cell astrocytoma (SGCA). We experienced a case of SGCA with tuberous sclerosis operated by the transcallosal approach and report with literature review.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.1
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• pp.65-71
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• 2007

Adjustable autonomy architecture provides various ways for a human operator to participate as a member of a human-robot team in improving the performance of the team by resolving issues that the robots cannot deal with or performing tasks that the robots alone would unable to do. According to the level of involvement of the human operator, the robots have to adjust their level of autonomy and, in consequence, the operation mode of the overall system shifts. This paper deals with the implementation issues of seamless switching when the level of autonomy of the human-robot team shifts from one level to another. Especially, we focus on developing reliable methods for monitoring the task progress and maximizing the system flexibility by coping with the detailed differences between humans and robots in their characteristics of motions and their choices of positions, paths, and sequences of sub-goals to achieve a given task. To test and motivate the proposed methods, we have assembled three heterogeneous robots which work together to dock both ends of a suspended beam into stanchions.

• Journal of Yeungnam Medical Science
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• v.24 no.2
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• pp.315-321
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• 2007

Angiomatoid fibrous histiocytoma is a rare soft tissue tumor that generally affects children and young adults. We report a case of angiomatoid fibrous histiocytoma in an 11-year-old boy who complained of a back mass for 3 years. Surgical excision was performed. The excised specimen showed a $4.0{\times}3.6{\times}3.0cm$, well circumscribed, grayish white tumor, with multicystic changes. Histological examination showed proliferation of spindle or round shaped tumor cells. There was a dense fibrous pseudocapsule with prominent chronic inflammatory cell infiltrates.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.994-1003
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• 2017

Ground-glass opacity nodules(GGNs) in chest CT images are associated with lung cancer, and have a different malignant rate depending on existence of solid component in the nodules. In this paper, we propose a method to classify pure GGNs and part-solid GGNs using multiview images and texture analysis in pulmonary GGNs with solid components of 5mm or smaller. We extracted 1521 features from the GGNs segmented from the chest CT images and classified the GGNs using a SVM classification model with selected features that classify pure GGNs and part-solid GGNs through a feature selection method. Our method showed 85% accuracy using the SVM classifier with the top 10 features selected in the multiview images.

• Journal of Korea Multimedia Society
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• v.20 no.1
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• pp.43-50
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• 2017

According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.265-272
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• 2022

As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.112-123
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• 2011

This study focused on developing strategies of cyber-compact city, combining compact city with information and communications technologies(ICTs), in order to enhance sustainable transportation. The cyber-compact city development is defined as a development that is able to reduce travel by ICTs and encourage people to use transit or non-motorized vehicles such as bicycles for ICT-induced travel (especially, discretionary travel) by compact and mixed land use. It can be achieved with combining cyber and compact strategies with respect to network, node, and area. For example, ICT network may use transit network facility, a transfer station may be a hub of ICTs, and transit influenced zone may work with ICT service area. We proposed three cohesive strategies for the cyber-compact city based on literature review and case studies on cyber and compact cities. The first strategy is a cohesion between public transportation and telecommunication network by centering on the two for national and urban spatial linkage structure. That is, cities or urban centers and its peripheral areas can be connected by rail network, and extra space of railway network can be used for constructing telecommunication network infrastructure. The second strategy is a cohesion between public transportation node and telecommunication node by building up regional and urban telecommunication centers near to or at main railway stations. For this strategy, telework centers and communication service centers should be established mainly at transfer stations. The third strategy is a cohesion between public transportation impact zone and telecommunication impact zone as transit oriented development.

• Journal of Veterinary Clinics
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• v.26 no.4
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• pp.367-370
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• 2009

A 5-year-old, intact female Shih-Tzu dog was presented with 1 year history of icterus, ascites and anorexia. The serum biochemistry revealed elevated liver enzyme levels. Microhepatica and decreased serosal detail were detected in abdominal radiography. Abdominal ultrasonographic findings included irregular liver margins, multifocal hypoechoic nodules in the liver parenchyma, and ascites. Computed tomography (CT) showed multifocal hypodense nodules with ring-like contrast enhancement. Cytologic and histopathologic examination by liver core biopsy revealed fibrosis. Cirrhosis was diagnosed based on above results. This report focuses on the imaging characteristics of ultrasonography and CT for liver cirrhosis in a dog.