• 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 Service Research and Studies
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• v.3 no.1
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• pp.87-93
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• 2013

Breast cancer is known as a disease that occurs in a lot of developed countries. However, in recent years, the incidence of Korea's modern woman is increased steadily. As well known, breast cancer usually occurs in women over 50. In the case of Korea, however, the incidence of 40s with young women is increased steadily than the West. Therefore, it is a very urgent task to build a manual to the accurate diagnosis of breast cancer in adult women in Korea. In this paper, we show how using data mining techniques to predict breast cancer. Data mining refers to the process of finding regular patterns or relationships among variables within the database. To this, sophisticated analysis using the model, you will find useful information that is easily revealed. In this paper, through experiments Deicion Tree Naive Bayes analysis techniques were compared using analysis techniques to diagnose breast cancer. Two algorithms was analyzed by applying C4.5 algorithm. Deicison Tree classification accuracy was fairly good. Naive Bayes classification method showed better accuracy compared to the Decision Tree method.

• Journal of Chest Surgery
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• v.35 no.12
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• pp.909-913
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• 2002

The large cell neuroendocrine carcinoma is uncommon and its diagnostic criteria was recently established as pulmonary neuroendocrine carcinoma. A 74-year-old man who was a heavy smoker without symptoms was presented with a lung mass in right lower lobe. He was diagnosed as having large cell neuroendocrine carcinoma by needle biopsy. He was treated with right lower lobe lobectomy and mediastinal lymph node dissection. We experienced one case of large cell neuroendocrine carcinoma of lung and report it with reference.

• ICROS
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• v.16 no.3
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• pp.21-27
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• 2010

본 논문에서는 지금까지 이루어진 전립선 암 진단 및 치료를 위한 로봇기술 적용 사례 관련 연구들을 조사하여 체계적인 분류 및 분석 작업을 수행함으로써 현재 기술 동향을 파악하고, 앞으로 나아갈 연구 방향을 제시하고자 한다.

• Journal of radiological science and technology
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• v.32 no.1
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• pp.45-52
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• 2009

Digital Mammography is an efficient imaging technique for the detection and diagnosis of breast pathological disorders. Six mammographic criteria such as number of cluster, number, size, extent and morphologic shape of microcalcification, and presence of mass, were reviewed and correlation with pathologic diagnosis were evaluated. It is very important to find breast cancer early when treatment can reduce deaths from breast cancer and breast incision. In screening breast cancer, mammography is typically used to view the internal organization. Clusterig microcalcifications on mammography represent an important feature of breast mass, especially that of intraductal carcinoma. Because microcalcification has high correlation with breast cancer, a cluster of a microcalcification can be very helpful for the clinical doctor to predict breast cancer. For this study, three steps of quantitative evaluation are proposed : DoG filter, adaptive thresholding, Expectation maximization. Through the proposed algorithm, each cluster in the distribution of microcalcification was able to measure the number calcification and length of cluster also can be used to automatically diagnose breast cancer as indicators of the primary diagnosis.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.4
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• pp.442-450
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• 2014

This paper is a study of the propagation characteristic of matching liquids in the skin-covered breast model. In order to evaluate the matching liquids, we investigated six kinds of matching liquids applied to proposed 1-D breast model from frequency range of 3~6 GHz. A uniform plane wave is projected / transmitted inside the multi-layered breast model. Then the propagation characteristics inside the model and the transmission loss of each matching liquids were analyzed. The studying method presented in the paper can be used in the breast cancer detection system, the field of cancer detection using human tissue and the field of other medical devices. This paper was applied to the breast cancer detection system. Consequently, these studies could be used to determine the suitable type of matching liquids for breast cancer detection system and to apply useful for performance analysis.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.205-207
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• 2004

유전자 발현 분석 시스템에 있어서 microarray 기술의 발전은 유전 질환 진단의 정확성과 신뢰도를 향상시키는 데에 큰 기여를 하였다. 다양한 microarray기술을 통해 얻은 대량의 유전자 발현 정보는 기계 학습분류기를 이용한 암의 분류와 진단, 예측 분야에도 효과적으로 이용될 수 있다. 이 과정에서 종류에 따른 암의 정확한 분류를 위해서는 되도록 해당 암 클래스와의 직접적인 연관이 있는 유전자만을 선택하여 활용하는 것이 효과적이다. 본 논문에서는 이러한 정보력 있는 유전자(informative gene)를 효과적으로 선택 할 수 있는 유전자 선택 방법을 제시하고, 이를 이용하여 세 가지 벤치마크 암 데이터에 대하여 체계적인 실험을 하였다. 그 결과 향상된 분류 성능을 확인할 수 있었다.

• Journal of Yeungnam Medical Science
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• v.15 no.2
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• pp.195-207
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• 1998

폐암을 집단 검진으로 조기 진단하려는 노력은 현재까지 뚜렷한 성과를 얻지 못하고 있는 실정이다. 미국의 국립암연구소에서 실시한 흉부엑스선 촬영과 객담세포진 검사를 이용한 폐암의 집단 검진 결과는 검진군에서 대조군보다 유의하게 진단율이 높았으며 절제율도 더 높았고 5년 생존율도 향상시킬 수 있었다. 그러나 폐암을 조기 진단하기 위한 집단 검진의 궁극적인 목표인 사망률을 감소시키지는 못하였다. 최근에는 미국 국립암 연구기관에서 실시했던 결과에 대한 해석이 다양하여 아직까지도 폐암 조기 진단에 있어서 흉부액스선촬영과 객담세포진검사의 의의에 관한 결론에 대해서는 논란이 되고 있다. 1993년부터 새로운 집단 검진에 관한 연구가 진행중에 있어서 그 결과가 나올 때까지는 흉부엑스선촬영과 객담세포진검사를 이용한 집단 검진의 의의에 대한 결과는 기다려 보아야 할 것이다. 분자생물학적으로 폐암을 조기 검진하기 위한 검체로는 혈액보다는 객담이 훨씬 적절하고 합리적인 검체이다. 폐암의 발생은 가장 먼저 기관지 상피 세포에서 일어나서 암화 과정의 여러 단계에서 다양한 종양 표지자가 객담에 섞여 나오기 때문에 이 표지자를 객담에서 측정하는 것이 훨씬 합리적인 조기 진단법이 될 수 있다. 동시에 폐암을 집단 검진으로 조기 진단하기 위해서는 종양 표지자를 대량으로 측정하기 위한 자동측정법도 개발되어야 할 것이다. 암을 예방하기 위하여는 여러면에서 방안이 연구되어야 한다. 즉 암발생의 가능성이 높은 대상을 선태하여야 하며 초기에 집단 검진으로 진단을 할 수 있어야 하고, 이러한 검진으로 추적 검사가 가능하여야 하며 마지막으로 결과를 판정할 수 있어야 한다. 이 가운데 현재까지 유일하게 실시할 수 없는 것은 조기 진단으로 사용할 수 있는 뚜렷한 종양 표지자가 없는 것이다. 이와 같이 현재까지는 폐암을 조기 진단하기 위한 특이한 표지자는 없으나 앞으로 폐암 발생 기전의 여러 단계가 체계적으로 밝혀진다면 그 과정에서 중요한 표지자들이 밝혀질 것이다. 그리고 이들을 간단하게 검사할 수 있는 검사법도 밝혀져 폐암 조기 진단의 궁극적 목적인 폐암으로 인한 사망률을 감소시킬 수 있을 것으로 기대된다.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.121-126
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• 2012

In this paper, a way for maximum use of cancer risk assessment software system CARA which can assess cancer risks by using health related information only without doctor's diagnosis is proposed. A way of maximizing the usage of CARA with use of nation wide internet network is described along with the general description of CARA. If CARA is used, the damage causing by cancer can be reduced since it is possible to sort a group of people with high risks (before diagnosis at a hospital). Also, CARA is helpful for medical research by used as a tool to reveal correlations between personal information and cancers practically. Unlike other preexisting systems, CARA is a new system which can consider 30 different cancers simultaneously and it is very efficient for early detection of cancer.