• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.10
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• pp.887-895
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• 2013

Metastatic bone cancer, the cancer which occurred in the various organs and progressively spread to bone, is one of the complications in cancer patients. This cancer is divided into the osteoblast and osteolytic metastasis. Although Computer Tomography(CT) could be an useful tool in diagnosis of bone metastasis, lesions are often missed by the visual inspection and it makes clinicians difficult to detect metastasis earlier. Therefore, in this study, we construct a three-dimensional(3D) volume rendering data from tomography images of the chest CT, and apply a 3D based image processing algorithm to them for detection bone metastasis lesions. Then we perform a three-dimensional visualization of the detected lesions.From our test using 10 clinical cases, we confirmed 94.1% of average sensitivity for osteoblast, and 90.0% of average sensitivity, respectively. Consequently, our findings showed a promising possibility and potential usefulness in diagnosis of metastastic bone cancer.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.4
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• pp.473-478
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• 2005

The gastric cancer takes the great part of the cancer occurrence and the mortality from cancer in Korea, and the early detection of gastric cancer is very important in the treatment and convalescence. This paper. for the early detection of gastric cancer, Proposes the analysis system of endoscopic image of the stomach that detects the abnormal region by using the change of color in the image and provides the surface tissue information to the detector. While the advanced inflammation and the cancer may be easily detected, the early inflammation and the cancer have a difficulty in detection and require the more attention lot detection. This paper, at first, converts the endoscopic image to the Image of IHb(Index of Hemoglobin) model and removes noises incurred by illumination, and next, automatically detects the regions suspected as cancer and provides the related information to the detector, or provides the surface tissue information for the regions appointed by the detector. This paper does not intend to provide the final diagnosis of the detected abnormal regions as gastric cancer, but provides the supplementary mean that reduces the load and mistaken diagnosis of the detector by automatically detecting the abnormal regions being not easily detected by human eyes and providing the additional information for the diagnosis. The experiments using practical endoscopic images for performance evaluation showed that the proposed system is effective in the analysis of endoscopic image of the stomach.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.565-579
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• 2016

In this paper a novel cancer subtype's classifier based on Hybrid Samples Balanced Genetic Algorithm with Extreme Learning Machine (hSBGA-ELM) is presented. Proposed cancer subtype's classifier uses genes' expression data of 16063 genes from open Global Cancer Map (GCM) data base for accurate cancer subtype's classification. Proposed method efficiently classifies 14 subtypes of cancer (breast, prostate, lung, colorectal, lymphoma, bladder, melanoma, uterus, leukemia, renal, pancreas, ovary, mesothelioma and CNS). Proposed hSBGA-ELM unifies genes' selection procedure and cancer subtype's classification into one framework. Proposed Hybrid Samples Balanced Genetic Algorithm searches a reduced robust set of genes responsible for cancer subtype's classification from 16063 genes available in GCM data base. Selected reduced set of genes is used to build cancer subtype's classifier using Extreme Learning Machine (ELM). As a result, reduced set of robust genes guarantees stable generalization performance of the proposed cancer subtype's classifier. Proposed hSBGA-ELM discovers 95 genes probably responsible for cancer. Comparison with existing cancer subtype's classifiers clear indicates efficiency of the proposed method.

• Proceedings of the Materials Research Society of Korea Conference
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• 2005.05a
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• pp.323-323
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• 2005

• 대한핵의학회:학술대회논문집
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• 1998.11a
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• pp.25.2-25.2
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• 1998

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.4 s.107
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• pp.341-350
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• 2006

In this paper, a new method for detecting breast cancer is proposed, which utilizes dielectric characteristics of pathological tissues and time delay of back scattered response, and its feasibility was investigated. We have developed a detection algorithm and verified it by numerical simulation and measurement for a prototype system. For a prototype system, we have fabricated experimental model(artificial breast with a cancer) and UWB(ultra-wideband) antenna. The results of the measurement simulation show an excellent detection capability of a cancer tissue. It is found that a good UWB antenna and a good calibration signal are key elements of such detection system. Further study is ongoing to develop a commercial system.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.537-543
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• 2022

The purpose of this simulation study was to evaluate the possibility of pancreas detection through effective atomic number information using dual-energy computed tomography(CT). The effective atomic number of 10 tissue-equivalent materials were estimated through stoichiometric calibration. For stoichiometric calibration, HU values at low-energy (80 kV) and high-energy (140 kV) for 10 tissue-equivalent materials were used. Based on this method, the effective atomic number image of the tissue-equivalent material was extracted through an iterative algorithm. According to the results, the attenuation ratio in accordance with the effective atomic number was estimated to have an R² value of 0.9999, and the effective atomic number of Pancreas, Water, Liver, Blood, Spongiosa, and Cortical bone was overall within 1% accuracy compared to the theoretical value. Conventional pancreatic cancer examination uses a contrast medium, so there is a possibility of potential side effects of the contrast medium. In order to solve this problem, it is thought that it will be possible to contribute to an accurate and safe examination by extracting the effective atomic number using dual-energy CT without contrast enhancement. Based on this study, future research will be conducted on the detection of pancreatic cancer using the HU value of pancreatic cancer based on clinical images.

• Korean Journal Plant Pathology
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• v.12 no.3
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• pp.324-330
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• 1996

암수 딴그루인 참다래 품종 중에서 우리나라에서 재배되고 있는 대표적인 결실수(암나무)인 Hayward와 수분수(숫나무)인 Matua에서 궤양병의 발생 차이를 조사한 결과 Hayward의 이병엽율은 18.0%인 반면에 Matua의 이병엽율은 2.4%였다. 또한 Hayward와 Matua의 잎에 형성된 병반에서 분리된 궤양병균의 균총수는 생체중 1 g당 각각 1.8$\times$10\ulcorner개와 2.1$\times$10\ulcorner개로 Hayward에서 Matua보다 약 10배 가량 많은 궤양병균이 검출되었다. Hayward 신초에 존재하는 궤양병균의 밀도를 조사한 결과 줄기 조직보다는 잎 조직에서 많은 궤양병균이 검출되었으며 새로 나온 잎일수록 궤양병균의 밀도는 낮게 검출되었다. 궤양병 방제를 위하여 스트렙토마이신 수간주입에 의한 궤양병 치료효과는 50.7~53.7%였다. 수간주입시 약량을 주당 2 L에서 3 L와 4 L로 증가시킴에 따라 치료효과도 32.3%에서 58.1%와 71.0%로 각각 증대되었는데, 수간주입 약제와 수간주입 방법의 개선을 통하여 궤양병 치료효과를 더욱 증대시킬 수 있을 것으로 기대된다.

• Korean Journal of Clinical Laboratory Science
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• v.47 no.4
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• pp.161-167
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• 2015

These commensal intestinal bacteria can enhance the immune system and aid in nutrient absorption but can also act as opportunistic pathogens. Among these intestinal bacteria, the anaerobic Bacteroides fragilis are divided into enterotoxigenic B. fragilis (ETBF) which secrete the B. fragilis toxin (BFT) and non-enterotoxigenic B. fragilis (NTBF) which do not secrete BFT. ETBF can cause diarrhea and colitis in both humans and livestock but can also be found in asymptomatic individuals. ETBF is predominantly found in patients with inflammatory diarrheal diseases and traveller's diarrhea. Several clinical studies have also reported an increased prevalence of ETBF in human patients with inflammatory bowel disease (IBD), colitis and colorectal cancer. In small animal models (C57BL/6 wild-type mice, germ-free mice, multiple intestinal neoplasia (Min) mice, rabbits and Mongolian gerbils), ETBF have been found to initiate and/or aggravate IBD, colitis and colorectal cancer. BFT induces E-cadherin cleavage in intestinal epithelial cells resulting in loss of epithelial cell integrity. Subsequent activation of the ${\beta}$-catenin pathway leads to increased cellular proliferation. In addition, ETBF causes acute and chronic colitis in wild-type mice as well as enhances tumorigenesis in Min mice via activation of the Stat3/Th17 pathway. Currently, ETBF can be detected using a BFT toxin bioassay and by PCR. Advances in molecular biological techniques such as real-time PCR have allowed both researchers as well as clinicians to rapidly detect ETBF in clinical samples. The emergence of more sensitive techniques will likely advance molecular insight into the role of ETBF in colitis and cancer.

• Journal of radiological science and technology
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• v.35 no.3
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• pp.227-235
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• 2012

Digital Mammography makes it possible to reproduce the entire breast image. And it is used to detect microcalcification and mass which are the most important point of view of nonpalpable early breast cancer, so it has been used as the primary screening test of breast disease. It is reported that microcalcification of breast lesion is important in diagnosis of early breast cancer. In this study, six types of texture features algorithms are used to detect microcalcification on breast US images and the study has analyzed recognition rate of lesion between normal US images and other US images which microcalification is seen. As a result of the experiment, Computer aided diagnosis recognition rate that distinguishes mammography and breast US disease was considerably high 70~98%. The average contrast and entropy parameters were low in ROC analysis, but sensitivity and specificity of four types parameters were over 90%. Therefore it is possible to detect microcalcification on US images. If not only six types of texture features algorithms but also the research of additional parameter algorithm is being continually proceeded and basis of practical use on CAD is being prepared, it can be a important meaning as pre-reading. Also, it is considered very useful things for early diagnosis of breast cancer.