• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.112-113
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• 2008

유방암은 유럽과 미국을 비롯해 전 세계적으로 증가하고 있으며 최근 우리나라에서도 가장 급속하게 늘고 있는 여성암중에 하나이다. 본 연구에서는 먼저 grey level co-occurrence matrix(GLCM)을 적용하여 유방영역을 분할한 후, median filter 를 적용하여 잡음을 제거하였다. 전처리 수행 후, 2차미분 행렬을 이용할여 미소석회화 부분을 강조한 후, 가우시안 정규분포도를 적용하여 미소석회화 후보군을 검출하였다. 검출된 후보군은 8 개의 feature 들을 적용하여 미소석회화를 최종 결정하였다. 본 연구를 통해서 조기 유방암 진단을 위한 발전된 미소석회화 검출 방법을 제안하였다.

• Journal of Radiation Protection and Research
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• v.28 no.4
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• pp.263-270
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• 2003

Monte Carlo simulation has been peformed to induce optimized parameters of the detector head of gamma camera for the diagnosis of breast cancer and to evaluate it under the diagnosis condition of the breast cancer. For the simulation, we used Tungsten collimator, having a lattice structured array with holes of $3mm{\times}3mm$ and septal thickness of 0.25 mm, which are corresponding to the pixellated photosensor. For driving optimum parameters we used Trade-Offs procedure between the geometric efficiency and the spatial resolution, varying the detector head components. In order to pre-evaluate the performance of the optimized detector head, we assumed diagnosis condition that the breast tumor is located in the middle of phantom with various sizes and its location is 25 mm from the collimator surface, considering background count caused by radiation sources from other organs. It was shown that the performance of the optimized detector head can be degraded according to the breast cancer size and the background count under real diagnosis conditions of breast cancer. Therefore, it is concluded that the spatial resolution, which is used as an indicator to distinguish the various sizes of breast cancer and is dependent on the characteristic of the detector head, appears to be meaningless in early diagnosis of the breast cancer.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.256-263
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• 2022

Skin cancer is one of the most common diseases in the world, and the incidence rate in Korea has increased by about 100% over the past five years. In the United States, more than 5 million people are diagnosed with skin cancer every year. Skin cancer mainly occurs when skin tissue is damaged for a long time due to exposure to ultraviolet rays. Melanoma, a malignant tumor of skin cancer, is similar in appearance to Atypical melanocytic nevus occurring on the skin, making it difficult for the general public to be aware of it unless secondary signs occur. In this paper, we propose a skin cancer lesion edge detection algorithm and a deep learning model, CRNN, which performs skin cancer lesion classification for early detection and classification of these skin cancers. As a result of the experiment, when using the contour detection algorithm proposed in this paper, the classification accuracy was the highest at 97%. For the Canny algorithm, 78% was shown, 55% for Sobel, and 46% for Laplacian.

• Journal of Korea Multimedia Society
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• v.16 no.5
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• pp.558-565
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• 2013

Mammography, the process of using X-ray to examine the woman breast, is the one of the effective tools for detecting breast cancer at an early state. In screening mammogram, Computer-Aided Detection(CAD) system helps radiologist to diagnose cases by detecting malignant masses. A mass is an important lesion in the breast that can indicate a cancer. Due to various shapes and unclear boundaries of the masses, detecting breast masses is considered a challenging task. To this end, CAD system detects a lot of regions of interest including normal tissues. Thus it is important to develop the well-organized classifier. In this paper, we propose an enhanced sparse representation (SR) based classifier using Fisher discrimination dictionary learning. Experimental results show that the proposed method outperforms the existing support vector machine (SVM) classifier.

• Journal of Life Science
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• v.17 no.2 s.82
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• pp.279-285
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• 2007

Detection of Mycoplasma DNA from the 30 cases of cancer tissues and the normal tissues surrounding the cancer tissues obtained from the patients with gastric cancer and the other 30 cases of cancer tissues and the normal tissues surrounding the cancer tissues obtained from the patients with colon cancer were evaluated by polymerase chain reaction(PCR). The PCR products were sequenced using an ABI 377 automatic DNA sequencer, and these sequences were confirmed by comparing sequences with the database of the National Center for Biotechnology Information BLAST network server. Mycoplasmas DNA were defected in 18 (60%) cases of normal tissues which were around gastric cancer and were 13 (43.3%) cases of gastric cancer tissues. Mycoplasmas DNA were detected in 15(50%) cases of normal tissues which were around colon cancer and 12 (40%) cases of colon cancer tissues. The M. faucium, M. subdolum, M. salivarium, M. auris, M. hyosynoviae, and M. conjunctivae were detected from the gastric cancer tissues. The M. faucium, M. subdolum,, M. salivarium, M. auris, M. hyosynoviae, M. bovigenitalium and M. pulmonis were detected from the normal tissues around gastric cancer. The M. faucium, M. subdolum, M. salivarium, M. auris, M. hyosynoviae, M. synoviae M. bovigenitalium, M. gallinarum, and M. moatsii were detected from the colon cancer. The M. faucium, M. subdolum, M. salivarium, M. auris, M. hyosynoviae, M. bovis, M. opalescens, M. bovigenitalium, M. gallinarum, and M. moatsii were detected from the normal tissues around the colon cancer. These results suggest that Mycoplasmas infection may not correlate with gastric cancer and colon cancer, because of the detection rate of Mycoplasmas DNA were not significantly differences between normal and cancer tissues from the patients.

• Journal of radiological science and technology
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• v.33 no.3
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• pp.289-294
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• 2010

The purpose of this study is an evaluation of the performance of a detector under radiographic irradiation condition by fabricating the polycrystalline $HgI_2$ film detector. The polycrystalline $HgI_2$ film detectors with thickness of 210 and $320\;{\mu}m$ were fabricated by screen print technology. Measurements of X-ray sensitivity and dark current were performed for two detectors. And measurements of the linearity of X-ray response and reproducibility were performed for the detector of thickness $320\;{\mu}m$. For applied electric field strengths from 0.05 to $2\;V/{\mu}m$ to the detector of thickness $320\;{\mu}m$, the X-ray sensitivities were measured from 233 to $1,408{\times}106\;electrons/mR{\cdot}mm^2$. And the dark currents were measured from 3.2 to $118\;pA/mm^2$. Compared with values reported by Zhong Su et al., the X-ray sensitivities exhibit about two times larger than the X-ray sensitivities measured by Zhong Su et al. And the dark currents exhibit about nine times larger than the dark currents measured by Zhong Su et al. The linearity of X-ray response acquired 0.988 as a coefficient of correlation (r). Reproducibility acquired 0.002 as a coefficient of variation. This study provides the performance data of fabricated polycrystalline $HgI_2$ film detector available for an active matrix flat panel imager under radiographic irradiation condition.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.255-260
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• 2005

위암은 국내 암발생 및 사망률의 상당 부분을 차지하고 있으며, 이러한 조기 위암의 발견은 치료 및 예후에 있어서 아주 중요하다. 본 논문에서는 조기 위암의 진단을 위해 위 내시경 영상에서 색상 변화를 이용해 이상 부위를 검출하여 검사자에게 조직적인 정보를 제공하는 시스템을 제안한다. 어느 정도의 진행이 이루어진 염증과 암은 쉽게 판단할 수 있지만, 조기의 염증이나 암의 경우에는 주의 깊게 보지 않는 경우에는 병변의 진단이 쉽지 않다. 본 논문에서는 위 내시경 영상을 IHB 채널로 변환시키고 조명에 의해 발생하는 잡음을 제거하며 자동으로 암 의심 영역을 검출하여 검사자에게 제공하거나 검사자에 의해 설정된 영역에 대한 조직적인 표면 정보를 제공한다. 본 논문의 연구는 추출된 이상 부위가 암을 확진할 수 없지만, 인간이 쉽게 인지하기 어려운 이상부위(암 의심 영역)를 추출하여 검사자에게 주의를 요구함으로써 일 처리를 줄이고 부과적인 정보를 제공한다. 그리고 검사추가 지정한 영역에 대해서도 조직적인 정보를 제공한다. 제안된 위 내시경 영상 분석 방법의 효율성을 확인하기 위해서 실제 내시경 영상들을 대상으로 실험한 결과, 제안된 방법이 위 내시경 영상 분석에 효율적임을 확인하였다.

• Journal of the Korean Chemical Society
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• v.47 no.5
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• pp.460-465
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• 2003

Structural alteration of p53 and overexpression of p53 protein are the most common genetic abnormalities in various kinds of human cancer. Mutations in the p53 tumor-suppressor gene are usually associated with an advanced development of colorectal cancer characterized by the transition from the adenoma to carcinoma stage. Mutations in exons 5-8 of the p53 gene were analyzed by the polymerase chain reaction-single strand conformation polymorphism(PCR-SSCP) and denaturing high performance liquid chromatography(DHPLC). SSCP analysis detected 7 mutations(C13109>T) in 50 colorectal cancer samples(14%) at exon 5, and DHPLC analysis detected 7 mutations (C13109>T) and 2 mutation(C13202>A, C13204>G) in 50 colorectal cancer samples(18%) at exon 5. All of 9 mutations were proved by sequencing analysis. We conclude that DHPLC is a highly sensitive and specific method for p53 gene mutations.

• Journal of Biomedical Engineering Research
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• v.18 no.4
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• pp.357-364
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• 1997

The early detection of breast cancer is clearly a key ingredient for reducing breast cancer mortality. Microcalcification is the only visible feature of the DCIS's(ductal carcinoma in situ) which consist 15 ~ 20% of screening-detected breast cancer. Therefore, the analysis of the shapes and distributions of microcalcifications is very significant for the early detection. The automatic detection procedures have b(:on the concern of digital image processing for many years. We proposed here one efficient method which is essentially statistical pattern classification accelerated by one representative feature, correlation coefficient. We compared the results by this additional feature with results by a simple gray level thresholding. The average detection rate was increased from 48% by gray level feature only to 83% by the proposed method The performances were evaluated with TP rates and FP counts, and also with Bayes errors.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1993.05a
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• pp.87-87
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• 1993

Polymerase chain reaction is widely used as a powerful tool in modern molecular biology. As there is agreement that the HPV is an important factor in the head and neck cancers, the detection of HPV DNA sequence in the head and neck cancer tissue has been tried in several ways. We used the PCR to detect the E1 open reading frames of the HPV in paraffin-embedded tissue of the patients with the head neck cancers. Eleven of the fifty-four tested samples (30%) showed positive result. We have analysed the clinical courses and characteristics related with Human Papillomavirus in those patients.