• 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.

• Progress in Medical Physics
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• v.9 no.2
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• pp.115-121
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• 1998

In this paper, basic study of diagnostic device development for early detection of cancer, we present the optical property measurements of 12 histologically classified biological tissue and blood specimens in order to determine whether significant optical contrast exists for detection of disease(cancer). In vitro, optical properties of each 630nm, 660nm, 780n, 880nm and 940nm shows consistent changes in effective absorbtion coefficients, ${\mu}$$\_$${\alpha}$/ with tissue classification of pig an chicken and human blood according to the 27.3%, 35.4%, 45.6% and 59.1% of HCT. We found differences in optical properties at each of specific wavelengths and histologically classified biological tissue.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.134-136
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• 2021

Research related to early diagnosis of breast cancer using artificial intelligence algorithms has been actively conducted in recent years. Although various algorithms that classify breast cancer based on a few publicly available ultrasound breast cancer images have been published, these methods show various limitations such as, processing speed and accuracy suitable for the user's purpose. To solve this problem, in this paper, we propose a multi-stage transfer learning where ResNet model trained on ImageNet is transfer learned to microscopic cancer cell line images, which was again transfer learned to classify ultrasound breast cancer images as benign and malignant. The images for the experiment consisted of 250 breast cancer ultrasound images including benign and malignant images and 27,200 cancer cell line images. The proposed multi-stage transfer learning algorithm showed more than 96% accuracy when classifying ultrasound breast cancer images, and is expected to show higher utilization and accuracy through the addition of more cancer cell lines and real-time image processing in the future.

• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.409-410
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• 2019

본 논문에서는 국내 갑상선암의 연구 동향을 파악하기 위해 텍스트 중심의 접근법을 제안한다. 국내 갑상선암은 2000년대에 들어서며 발생이 급증하여 과잉진단의 논란을 불러일으켰으나, 다양한 분야의 자정 노력으로 수술 환자수가 크게 줄었다. 본 연구에서는 텍스트 마이닝 기술을 사용하여 디비피아에 등록되어 있는 갑상선암 관련 논문의 키워드와 초록을 수집하여 분석하였다. 1980년대는 대부분의 사례보고가 있었고 1990년대에 들어서면서 검진을 통한 조기 진단의 내용이 자주 나타났다. 2000년대에는 여러 장비들을 활용한 검사방법과 미세한 암의 발견에 대한 논의가 증가하였음을 확인 할 수 있었다. 2010년대에 들어서는 환자의 삶의 질에 대한 연구가 많이 이루어졌다. 지난 수십 년 동안 갑상선 암 연구 주제에 대해 뚜렷한 변화가 나타났으며, 향후 연구의 기초자료로 활용될 수 있으리라 기대된다.

• Journal of Yeungnam Medical Science
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• v.14 no.2
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• pp.293-313
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• 1997

이상에서 고찰하였듯이 현재까지는 어느 하나로 결정할 만한 선별 검사 방법이 없지만, 그 중에서 경질 초음파 검사와 color-flow Doppler 초음파 검사가 시행하기가 쉬우면서 민감하고 비교적 특이도가 높은 방법이라고 할 수 있다. 그러나 역학적인 면에서 조기 진단 혹은 선별 검사의 효율은 검사의 시행과 그에 따른 처치에 의해 사망률이 실제로 감소되었을 때 유의하다고 할 수 있으며, 이런 면에서 아직까지 난소암으로 인한 사망률을 감소시킬 만한 결정적인 선별 검사 방법은 알려져 있지 않다. 사망률이 1/3 감소되었음을 확인하는데 100,000명의 선별 검사자와 100,000명의 대조군이 필요하므로 앞으로 보다 많은 인구를 대상으로 한 역학적인 연구가 필요하다. 앞으로의 선별 검사에는 보다 특이도가 높은 종양 표지 물질의 개발, 초음파를 비롯한 진단 기기의 혁신적인 발달이 필요하며 이는 현재까지의 발전 상황으로 보아 실제로 가능할 것으로 생각된다. 이와 더불어 돌연변이를 일으킨 난소 상피 세포가 수 차례의 분열만 일으키더라도 그 유전자 산물을 검색해 낼 수 있고, 나아가서는 DNA 진단까지 가능한 분자 생물학적 혹은 세포 유전학전 진단 방법의 개발과 이용도 기대된다.

• Progress in Medical Physics
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• v.24 no.3
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• pp.183-190
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• 2013

Recently, the photoacoustic imaging system has been widely and intensively developed, and has been shown the possibility of diagnosis for early stage cancer. In this study, we developed a photoacoustic tomography imaging system with a commercial ultra sound device and a linear array probe. A tube phantom and a chicken breast phantom was made for the possibility of a system as a breast cancer detection. A moving average filter and a band pass filter with 3~6 MHz bandwidth were developed for background noise elimination before delay-and-sum beamforming algorithm was used for image reconstruction. As a result, we showed that some signal processing procedure before beamforming was effective for the photoacoustic image reconstruction.

• Journal of Digestive Cancer Research
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• v.8 no.2
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• pp.102-108
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• 2020

Background: This study was performed to evaluate the effect of gastric cancer screening through analysis of screening-related data. Methods: We investigated claims data of gastric cancer from 2009 to 2015. We evaluated whether the screening was performed to prior to registration as patients with gastric cancer. The effect of gastric cancer screening was also analyzed by gender. Results: We collected total 196,293 patients with gastric cancer. 74% of them had previous experience of gastric cancer screening. In patients with screening, early gastric cancer was 33.4% and advanced gastric cancer was 17.3%. 22,548 (15.5%) patients were diagnosed with gastric cancer within 2 years after screening. In the case of patients without screening, early gastric cancer was 15.1% and advanced gastric cancer was 25.3%. In case of men, 76% of them confirmed gastric cancer through screening, and 70.2% of women confirmed the gastric cancer. In both men and women, the rate of early gastric cancer was higher among those with screening than those without screening. Conclusion: In this study, we were able to indirectly confirm the stage shift of gastric cancer screening. However, within 2 years after screening, not a few patients with gastric cancer were diagnosed. Therefore, more studies are warranted to in the future.

• The Korean Journal of Nuclear Medicine
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• v.34 no.3
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• pp.234-242
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• 2000

Purpose: Tc-99m MIBI scintimammography has been validated as an useful non-invasive diagnostic tool for the primary breast cancer. But most studies have included small population of patients. We have experienced a large study population and investigated the diagnostic usefulness of Tc-99m MIBI scintimammography in detection of primary breast cancer and axillary lymph node metastasis. Materials and Methods: This study included 305 patients who underwent scintimammogtaphy for palpable breast masses or abnormal radiologic findings. Tc-99m MIBI scintimammography was performed 10 minutes after intravenous injection of 925 MBq of Tc-99m MIBI. If the early image revealed abnormal finding, 3 hour delayed image was also acquired. We calculated early and delayed lesion to non-lesion ratios (L/N). The pathologic diagnosis was obtained from surgical operation or FNAB and compared with the results of Tc-99m MIBI scintimammography. Results: Malignant breast diseases were 155 and benign ones were 150. Tc-99m MIBI scintimammography revealed 132 true positive, 23 false negative, 10 false positive, and 140 true negative cases. The sensitivity, specificity, positive predictive value and negative predictive value for the primary breast cancer detection were 85.2%, 93.4%, 92.9%, and 85.9%, respectively. The sensitivity, specificity, positive predictive and negative predictive values of Tc-99m MIBI scintimammography in detecting metastatic axillary lymph node involvement were 22%, 90.4%, 61.9% and 62.3%, respectively. Early L/N of malignant breast disease was significantly higher than that of benign one ($2.44{\pm}0.97\;vs\;1.94{\pm}0.78$, p=0.01). Delayed L/N had no significant difference between malignant and benign breast diseases ($1.94{\pm}0.52\;vs\;1.91{\pm}0.73$, p=0.43). Conclusion: Our study revealed that Tc-99m MIBI scintimammography was an useful diagnostic tool for the diagnosis of breast cancer. And early L/N ratio might provide complementary role in the detection of breast cancer. But the Tc-99m MIBI scintimammography had limited value in the detection of small breast cancer (less than 1 cm) and axillary lymph node metastasis.

• 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.