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위장관 ( 胃腸管 ) : 고유근층 대장암의 임상적 고찰
김진복(Jin Pok Kim),송인성(In Sung Song),최규완(Kyoo Wan Choi),최병인(Byung Ihn Choi),박재갑(Jae Gahb Park),김용일(Yong Il Kim),김영우(Young Woo Kim),정현채(Hyun Chae Jung),홍성국(Song Cook Hong),이건욱(Kuhn Uk Lee),최국진(Kuk Jin Ch 대한소화기학회 1991 대한소화기학회지 Vol.23 No.2
N/A If detected in early stage and appropriate treatment ensued immediately, the cure rate of colorectal cancer would be increased. But, the proportion of early colorectal cancer in Seoul National Uneversity Hospital was only 1.9% of operated cases. We reviewed the medical records of 192 patients underwent curative resection for proper muscle (PM) colorectal cancer between 1970 and 1989 retrospectively speculating that these lesions are more advanced than early colorectal cancer but earlier than advanced colorectal cancer. Follow-up information for survival data was available for 151 patients (93%) among 163 patients between 1980 and 1989. The results for the PM colorectal cancer are followings. 1) The proportion was not increasing. Mean proportion between 1970 and 1989 was 12%. 2) The tumor smaller than 2 cm occupied 10% of PM colorectal cancer comparing to 0.86% in total colorectal cancer in the same duration. 3) Node negative lesion comprised 77% comparing to 52%. in total colorectal cancer. 4) Five year survival rate was 84% overall (n=163, 1980-1989), 88% in node negative group (n= 125), 69% in node positive group (n =38) (p value<0.05). 5) The overall recurrence rate was 13.5%(26/192). The recurrence rate as to tumor size was 6.7% in the group which had the lesion smaller than 2 cm, 11% in the group with 2 to 5 cm, 199. in the group larger than 5 cm. Node negative group had recurrence rate of 9.5% (14/148), on the contrary, 27% in node positive group (12/44). 6) In node negative group, the subgroup with the lesion smaller than 2 cm had no recurrence and had 92%: five year survival rate but, the subgroup with larger than 2 cm had 10%: recurrence rate and 85%, five year survival rate. As a conclusion, PM colorectal cancer without lymph node metastasis and smaller than 2 cm size had no recurrence and survived well above 90%. And it is reasonable to consider the possibility of systemic spread even in lymph node negative PM colorectal cancer if the trmor size exceeds 2 cm.
윤용범(Yong Bum Yoon),송인성(In Sung Song),최규완(Kyoo Wan Choi),김정룡(Chung Yong Kim),최병인(Byung Ihn Choi),김용태(Yong Tae Kim),김주성(Joo Sung Kim),차수강(Su Gang Cha),조재민(Jae Min Cho) 대한소화기학회 1993 대한소화기학회지 Vol.25 No.2
N/A Diverticular disease of the colon is extremely common in developed Western nations, in which the most common site of diverticula is the sigmoid. Its prevalence increases with age and complications occur not rarely. In Asia and Africa, however, lower overall prevalence, higher frequency in right-side colon than left-side and rarer complications are observed. Therefore, we analyzed the prevalence, location and the number of divericula with double-contrast colon studies, and clinical manifestations and complications in 12,599 patients in Seoul National University Hospital from January 1988 to December 1991. Overall prevalence of diverticular disease of the colon was 4.1%, mean age 53.8 year and the ratio of male to female was 2:1. Diverticula occurred 6 times more frequently in the right-side colon than left-side. The prevalence of diverticula in left-side colon increased with age. Mean number of diverticula was 4.9 and the cases with rnore than 11 diverticula belonged to aged group exclusively. The rnost common symptoms were abdominal discomfort and pain. Complications were diverticulitis (1.8%) and lower gastrointestinal hleeding (1%). These data suggest that the prevalence of diverticular disease of the colon is low in Korea compared with the prevalence in Western nations, but it is increasing these days. Right-side colon is the predominant site of colonic diverticula in Korea, but increase in frequency in left-side colon with age was observed. Complications were rare and could be managed with medical treatment.
커널 기반의 퍼지 K-Nearest Neighbor 알고리즘
최병인(Byung-In Choi),이정훈(Chung-Hoon Rhee) 한국지능시스템학회 2005 한국지능시스템학회 학술발표 논문집 Vol.15 No.2
커널 함수는 데이터를 high dimension 상의 속성 공간으로 mapping함으로써 복잡한 분포를 가지는 데이터에 대하여 기존의 선형 분류 알고리즘들의 성능을 향상시킬 수 있다. 본 논문에서는 기존의 유클리디안 거리측정방법 대신에 커널 함수에 의한 속성 공간의 거리측정방법을 fuzzy K-nearest neighbor 알고리즘에 적용한 fuzzy kernel K-nearest neighbor(FKKNN) 알고리즘을 제안한다. 제시한 알고리즘은 데이터에 대한 적절한 커널 함수의 선택으로 기존 알고리즘의 성능을 향상 시킬 수 있다. 제시한 알고리즘의 타당성을 보이기 위하여 여러 데이터 집합에 대한 실험결과를 분석한다.
Support Vector Machines 기반의 클러스터 결합 기법
최병인(Byung-In Choi),이정훈(Chung-Hoon Rhee) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.3
Convex한 클러스터간의 최적의 거리와 Fuzzy Convex Clustering(FCC) 방법에 의한 효과적인 클러스터 결합 알고리즘을 제시하였다. 또한 두 convex한 클러스터간의 거리 측정 방법의 문제점인 정확성과 수행속도 개선하기 위하여 Support Vector Machines(SVM) 을 이용한 빠르고 정확한 거리 측정 방법을 제시하였다. 따라서 데이터의 부적절한 표현 없이 클러스터들의 개수를 크게 더 줄일 수 있었다. 본 논문에서는 제시한 알고리즘의 타당성을 위하여 여러 데이터에 대한 실험결과를 보여주므로서 제시한 알고리즘을 실제 영상 분할에 적용하여 다른 클러스터링 방법의 결과와 비교분석한다. A cluster merging algorithm that merges convex clusters resulted by the Fuzzy Convex Clustering(FCC) method into non-convex clusters was proposed. This was achieved by proposing a fast and reliable distance measure between two convex clusters using Support Vector Machines(SVM) to improve accuracy and speed over other existing conventional methods. In doing so, it was possible to reduce cluster number without losing its representation of the data. In this paper, results for several data sets are given to show the validity of our distance measure and algorithm.
영상 분할을 위한 퍼지 커널 K-nearest neighbor 알고리즘
최병인(Byung-In Choi),이정훈(Chung-Hoon Rhee) 한국지능시스템학회 2005 한국지능시스템학회논문지 Vol.15 No.7
커널 기법은 데이터를 high dimension 상의 속성 공간으로 mapping함으로써 복잡한 분포를 가지는 데이터에 대하여 기존의 선형 분류 알고리즘들의 성능을 향상시킬 수 있다[4]. 본 논문에서는 기존의 유클리디안 거리측정방법 대신에 커널 함수에 의한 속성 공간의 거리측정방법을 fuzzy K-nearest neighbor(fuzzy K-NN) 알고리즘에 적용한 fuzzy kernel K-nearest neighbor(fuzzy kernel K-NN) 알고리즘을 제안한다. 제시한 알고리즘은 데이터에 대한 적절한 커널 함수의 선택으로 기존 알고리즘의 성능을 향상 시킬 수 있다. 제시한 알고리즘의 타당성을 보이기 위하여 여러 데이터 집합에 대한 실험결과와 실제 영상의 분할 결과를 보일 것이다. Kernel methods have shown to improve the performance of conventional linear classification algorithms for complex distributed data sets, as mapping the data in input space into a higher dimensional feature space[7]. In this paper, we propose a fuzzy kernel K-nearest neighbor(fuzzy kernel K-NN) algorithm, which applies the distance measure in feature space based on kernel functions to the fuzzy K-nearest neighbor(fuzzy K-NN) algorithm. In doing so, the proposed algorithm can enhance the performance of the conventional algorithm, by choosing an appropriate kernel function. Results on several data sets and segmentation results for real images are given to show the validity of our proposed algorithm.
다중센서 영상융합을 위한 대응점 추출에 기반한 자동 영상정합 기법
최원철,정직한,박동조,최병인,최성남,Choi, Won-Chul,Jung, Jik-Han,Park, Dong-Jo,Choi, Byung-In,Choi, Sung-Nam 한국군사과학기술학회 2009 한국군사과학기술학회지 Vol.12 No.4
In this paper, we propose an automatic image registration method for multi-sensor image fusion such as visible and infrared images. The registration is achieved by finding corresponding feature points in both input images. In general, the global statistical correlation is not guaranteed between multi-sensor images, which bring out difficulties on the image registration for multi-sensor images. To cope with this problem, mutual information is adopted to measure correspondence of features and to select faithful points. An update algorithm for projective transform is also proposed. Experimental results show that the proposed method provides robust and accurate registration results.
윤용범(Yong Bum Yoon),김정용(Chung Yong Kim),이효석(Hyo Suk Lee),전형식(Hyung ski Jun),최병인(Byung In Choi) 대한소화기학회 1984 대한소화기학회지 Vol.16 No.1
N/A In 149 patients with the pancreatic or biliary diseases including CBD stone, CBD cancer, pancreatic cancer and chronic pancreatitis, diagnostic values of clinical criteria, ultrasonography and ERCP were reviewed by the calculated sensitivity, specificity, predictive value positive and negative. The results are summarized as following; 1) Sensitivity, specificity, predictive value positive and negative of malignant clinical criteria were 67.9%, 83.9%, 71.7% and 81.3% respectively, while those of benign clinical criteria were 83.9%, 67.9%, 81.3%, 71.7% respectively. 2) Sensitivity, specificity, predictive value positive and negative of ultrasonography in detecting pancreatobiliary abnormalities were 71.7% 77.3%, 94.5%, and 32.1%, respectively. 3) Sensitivity, specificity, predictive value positive and negative of ERCP for diagnosis of CBD stone were 88.6%,98%, 97.8% and 98% respectively, and for CBD cancer 65%, 94.7%, 76.5% and 97.3% respectively, and for pancreatic cancer, 78.3 % 97.7 % 90% and 96.6% respectively, and for chronic pancreatitis, 85.7%, 99.0%, 85.7% and 99.0% prespectively. Predictive value positive of ERCP for diagnosis of CBD cancer is relatively low. In conclusion, clinical criteria still have quite significances in differentiating between malignant and benign diseases of pancreatobiliary tract, and ERCP shows high diagnostic values in patients with CBD stone, CBD cancer, pancreatic cancer and chronic pancreatitis. But the predictive value positive was relatively low for diagnosis of CBD cancer. Therefore, other additional diagnostic tests such as cytology of bile juice are necessary to increase the dialgnostic value of ERCP for CBD cancer.