• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.3
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• pp.263-269
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• 2003

This paper focuses on lossy medical image compression methods for medical images that operate on three-dimensional(3D) irreversible integer wavelet transform. We offer an application of the Set Partitioning in Hierarchical Trees(SPIHT) algorithm〔l-3〕to medical images, using a 3-D wavelet decomposition and a 3-D spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method, where careful scaling and truncations keep the integer precision small and the transform unitary. As the compression rate increases, the boundaries between adjacent coding units become increasingly visible. Unlike video, the volume image is examined under static condition, and must not exhibit such boundary artifacts. In order to eliminate them, we utilize overlapping at axial boundaries between adjacent coding units. We have tested our encoder on medical images using different integer filters. Results show that our algorithm with certain filters performs as well. The improvement is visibly manifested as fewer ringing artifacts and noticeably better reconstruction of low contrast.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.187-197
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• 2013

Objectives : The purpose of this study was to analyze the effect of outpatient cost sharing reduction on health care utilization of children under 6 years old. Methods : The data in this analysis was the health insurance claims data between August 2006 and July 2008. The study group was divided into two age groups, namely 0-5 years old and 6-10 years old. This study evaluated the impact of policy change on office visits per person and expenditure per visit. In order to do so, the double difference analysis is used. Results: The results showed that outpatient cost-sharing reduction has never really had a huge impact on office visits per person and expenditure per visit. Conclusions: This study showed that the outpatient cost sharing reduction for children under 6 years old policy is not working. Therefore, cost sharing of National Health Insurance by income class is needed.

• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.409-420
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• 2014

The purpose of this study is to examine the level of stress and depressive symptom and to assess the utilization of professional consultation. Data extracted from Community Health Survey (CHS), conducted by Korea Centers for Disease Control and Prevention. The subjects were 174,975 (19-65 years). In result, 'Managers', 'Professionals and related workers', 'Clerks', 'Service workers', and 'Sales workers', 'Equipment, machine operating assembling workers', and 'Armed forces' were more in risk of stress. However, theses groups were less in probability of utilization for stress consultation. Based on these findings, mental health screening program for detecting risk group among occupation classification and employment status will be essential. It may be necessary to have sustainable strategies for utilizing mental health service to reduce the level of stress and depressive symptom of workers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2672-2679
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• 2012

The study was done to provide basic data of medical quality evaluation after developing the comorbidity disease mortality measurement modeled on the severity-adjustment method of AMI. This study analyzed 699,701 cases of Hospital Discharge Injury Data of 2005 and 2008, provided by the Korea Centers for Disease Control and Prevention. We used logistic regression to compare the risk-adjustment model of the Charlson Comorbidity Index with the predictability and compatibility of our severity score model that is newly developed for calibration. The models severity method included age, sex, hospitalization path, PCI presence, CABG, and 12 variables of the comorbidity disease. Predictability of the newly developed severity models, which has statistical C level of 0.796(95%CI=0.771-0.821) is higher than Charlson Comorbidity Index. This proves that there are differences of mortality, prevalence rate by method of mortality model calibration. In the future, this study outcome should be utilized more to achieve an improvement of medical quality evaluation, and also models will be developed that are considered for clinical significance and statistical compatibility.

• Journal of Biomedical Engineering Research
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• v.21 no.3 s.61
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• pp.233-237
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• 2000

In general. fiber-optic medical endoscopes are made from glass step index (SI) fibers. These endoscopes have limitations in both image quality and mechanical properties. In particular. the image resolution of the SI endoscopes is limited to about 5$\mu$m. In this study the image resolution of plastic graded index (GRIN) super-resolution image guides with pixel sizes from 7 to 2.5 $\mu$m were measured and compared with those of 91ass SI image guides. There is an improvement in resolution of the plastic GRIN image guides as the microfiber diameter is reduced from 7 $\mu$m to 2.5 $\mu$m. The measured resolution of plastic GRIN image guide with 2.5 $\mu$m microfibers is more than a factor of two higher than that of g1ass SI image guide with 5$\mu$m microfibers. This new design of optical systems could have a major impact on a wide array of future optical systems used in defense. industrial, and medical applications.

• Journal of the Korean Society of Radiology
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• v.3 no.1
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• pp.29-39
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• 2009

In this paper has proposed to the recognition of the disease on medical images using neural network. The neural network is constructed as three-layers of the input-layer, the hidden-layer and the output-layer. The training method applied for the recognition of disease region is adaptive error back-propagation. The low-frequency region analyzed by DWT are expressed by matrix. The coefficient-values of the characteristic polynomial applied are n+1. The normalized maximum value +1 and minimum value -1 in the range of tangent-sigmoid transfer function are applied to be use as the input vector of the neural network. To prove the validity of the proposed methods used in the experiment with a simulation experiment, the input medical image recognition rate the evaluation of areas of disease. As a result of the experiment, the characteristic polynomial coefficient of low-frequency area matrix, conversed to 4 level DWT, was proved to be optimum to be applied to the feature parameter. As for the number of training, it was marked fewest in 0.01 of learning coefficient and 0.95 of momentum, when the adaptive error back-propagation was learned by inputting standardized feature parameter into organized neural network. As to the training result when the learning coefficient was 0.01, and momentum was 0.95, it was 100% recognized in fifty-five times of the stomach image, fifty-five times of the chest image, forty-six times of the CT image, fifty-five times of ultrasonogram, and one hundred fifty-seven times of angiogram.

• Proceedings of the Korean Fiber Society Conference
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• 2001.10a
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• pp.195-198
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• 2001

최근 지능재료에 관한 연구가 형상기억합금, 반도체 재료, 의료용 재료, 고분자 재료 등에서 활발히 이루어지고 있다. 지능재료 중 형상기억재료는 형상기억, 형상고정, 충격흡수 등의 효과를 갖기 때문에 열적, 역학적, 전기적 및 자기적(magnetic) 자극을 감지함으로써 형상, 위치, 탄성계수, damping, 마찰 등의 특성변화를 통하여 응답을 할 수 있어 응용이 다양하다 형상기억고분자의 경우 가볍고 형상회복률이 높으며 가공성이 우수한 장점을 가지고 있다. (중략)

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.248-249
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• 2018

본 논문에서는 고해상도 자궁 내막 세포들을 대상으로 정상세포와 이상세포들을 구별하기 위한 알고리즘을 제안한다. 구체적으로 계층적 구조를 갖는 Convolutional Neural Network (CNN) 모델을 기반으로 네 가지 세포들을 구분하는 알고리즘을 제안한다. 이 연구에서 고해상도 영상을 분류하면서도 복잡도 증가를 막기 위해 효율적인 전처리 과정을 사용하였다. 다양한 컴퓨터 실험을 통하여 제안하는 기술을 사용할 때, 인식률이 향상되는 것을 확인할 수 있었다.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.327-327
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• 2005

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.504-504
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• 2005