• 식품문화 한맛한얼
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• v.4 no.4
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• pp.428-439
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• 2011

서구화된 식습관이 일반화되면서 유방암이 증가하게 된다는 사실은 많이 알려진 일반적인 내용이다. 유방암은 식사와 관련된 요인이 중요하게 작용하는 질환 중 하나로 에스트로겐 분비와 작용에 관여하는 영양소들이 여러 가지 있다. 유방암과 영양에 대한 정보를 이해 적용하고 고른 영양섭취를 하는 것이 권장되며, 암과 영양에 대해 고민할 때는 시기에 따른 지침이 다를 수 있음을 인식해야 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.340-342
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• 2001

본 논문은 유방질환 중에서 Duct(관)에 발생하는 유방 종양을 benign(양성종양)/DCIS (Ductal Carcinoma In Situ)/NOS(Invasive ductal carcinoma)로 자동 분류하기 위한 분류방법을 제안한다. 분류기 생성에서 가장 중요한 단계인 특징 추출단계에서는 wavelet 변환을 적용하였으며, wavelet 변환의 각 depth에 따라 분류기를 생성하여, depth와 생성된 분류기의 분류 정확도와의 상관관계를 비교.분석하였다. 현미경 100배 배율과 400배 배율의 유방 질환 영상을 1, 2, 3, 4단계(depth)의 wavelet 변환을 적용한 후, 분할된 서브밴드에서 GLCM을 이용하여 질감 특징(Entropy, Energy, Contrast, Homogeneity)을 추출하여, 이 특징값들을 조합하여 판별분석에 의해 분류기(classifier)를 생성한 후, 분류 정확도를 검증하였다. Benign/DCIS/NOS를 분류하려면 최소 3단계 이상의 wavelet 변환을 적용해야 하고, 400배 배율 영상보다는 100배 배율의 영상이 더 나은 결과를 보였다.

• Proceedings of the Korean Society of Radiological Science
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• 1994.05a
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• pp.7.1-7.1
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• 1994

• Proceedings of the KSCN Conference
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• 2004.05a
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• pp.414.2-415
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• 2004

유방암은 아시아나 남ㆍ동부 유럽에 비하여 서구 국가에서 발생 빈도와 사망률이 높아western disease로 분류되는 질병이었으나, 최근 우리나라에서도 식생활의 서구화로 인해 그 발생 빈도가 증가하여 현재 여성암의 1위를 차지하는 주요 질환이다. 서구에서는 유방암의 발생률이 높아 일찍부터 유방암에 대한 연구 결과가 누적되어 있으나 우리나라에서는 유방암의 발생요인과 관련된 식이조사나 생활습관 등에 관한 조사 연구가 부족한 실정이다.(중략)

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.91-94
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• 2001

유방 질만 분석을 위한 병리진단에서는 암종세포의 세관형성 정도와 핵의 다형성과 유사분말정도를 기준으로 하여 나누는 방법이 용이하고 재현성이 높다. 그 중에서도 세포핵의 크기와 다형성, 핵과 세포질의 비율은 양성종양과 악성종양을 분류하는데 있어서 중요한 요소중의 하나이다. 그러므로 본 논문에서는 유방 질단 영상에서 세포핵을 추출하여, 핵의 형태학적 특징값인 핵의 연적 둘레, 가로·세로(장·단축)의 길이를 구하고 핵과 세포질의 비율을 계산한 후, 추출한 형태학적 특성 칸들이 양성종양과 악성종양으로 분류하는데 있어서 유의한 특성 값인지 비교·분석하였다.

• Investigative Magnetic Resonance Imaging
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• v.17 no.4
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• pp.316-320
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• 2013

Malignant fibrous histiocytoma (MFH) of the breast is extremely rare and most of the previous reports were focused on the clinicopathological features of breast MFH, so analysis of its imaging findings have been limited. We report a case of MFH involving left breast and left axilla, metastasized from known MFH of left forearm, with focusing on imaging findings based on radiologic evaluation of the breast including mammography, ultrasound and breast MRI.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.22-30
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• 2001

In this paper we propose three classification algorithms to classify breast tumors that occur in duct into Benign, DCIS(ductal carcinoma in situ) NOS(invasive ductal carcinoma) The general approach for a creating classifier is composed of 2 steps: feature extraction and classification Above all feature extraction for a good classifier is very significance, because the classification performance depends on the extracted features, Therefore in the feature extraction step, we extracted morphology features describing the size of nuclei and texture features The internal structures of the tumor are reflected from wavelet transformed images with 10$\times$ and 40$\times$ magnification. Pariticulary to find the correlation between correct classification rates and wavelet depths we applied 1, 2, 3 and 4-level wavelet transforms to the images and extracted texture feature from the transformed images The morphology features used are area, perimeter, width of X axis width of Y axis and circularity The texture features used are entropy energy contrast and homogeneity. In the classification step, we created three classifiers from each of extracted features using discriminant analysis The first classifier was made by morphology features. The second and the third classifiers were made by texture features of wavelet transformed images with 10$\times$ and 40$\times$ magnification. Finally we analyzed and compared the correct classification rate of the three classifiers. In this study, we found that the best classifier was made by texture features of 3-level wavelet transformed images.

• The Korean Journal of Cytopathology
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• v.7 no.1
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• pp.12-22
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• 1996

Fine needle aspiration(FNA) has been quite successful in identifying benign and malignant breast lesions, but a "gray zone" exists. A total of 697 FNAs of breast were performed at Korea Cancer Center Hospital for a period of one year. One hundred and eleven of the 697 FNAs were diagnosed as atypical or suspicious for malignancy. Among them, we reviewed 74 FNAs, un which histologic diagnoses were made, and applied cytologic grading system proposed by Masood et al (1990) to evaluate the usefulness of this system in minimizing the size of gray zone. Technical problem was responsible for equivocal diagnoses in 19 FNAs Of the remaining 55 FNAs, 18 were benign and 37 were malignant. Among benign conditions, fibroadenoma(5 cases) and fibrocystic disease with fibroadenomatous feature(3 cases) constituted the largest groups. The majority of malignant conditions were infiltrating ductal carcinoma(29 cases), however, those low grade carcinomas Including tubular carcinoma(3 oases), cribriform carcinoma(2 cases), and mucinous carcinoma(2 cases) occupied a relatively large proportion Cytologic grading system was quite useful in minimizing the size of gray lone. The scores of 27 out of 29 usual infiltrating ductal carcinomas belonged to the group of cytologic malignancy, how-ever, only 2 out of 7 low grade carcinomas got scores of malignancy FNA from fibroadenoma or fibrocystic disease with fibroadenomatous features showed a tendency toward high scores. Experience of the cytopathologist and familiarity with cytologic alteration in breast disease cannot be overemphasized.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.1 no.1
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• pp.9-14
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• 1995

Thermography is a diagnostic procedures that measures infrared energy emitted by the skin. Thermography detects body temperature change which are controlled by the autonomic nervous system. It does show the thermal dysfunction that correlates closely with pain syndromes as well as normalization when the healing process takes place. Experienced clinical interpretation of the thermal pattern is necessary to diagnose and establish causation. Thermography is useful in the diagnosis of painful conditions such as herniated disc diseases, myofascial syndrome, myositis, musculoligamentous injury, reflex sympathetic dystrophy, athretic injuries, vascular diseases, arthritis, inflammation and breast tumors.

• The Korean Chronic Disease News
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• no.133
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• pp.6-6
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• 1992