• 대한치과의사협회지
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• 제49권8호
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• pp.443-450
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• 2011

The leading paradigm of dentistry had been focused on the rehabilitation treatment that identifies active caries, manages them surgically, and restores their original functions. However, changes in the external environment including the current disease prevalence require dentistry to have a paradigm shift. The new paradigm suggests the detection of caries in their earlier stages over the visual diagnosis of cavities, and the reversal of the incipient caries by non-surgical approach. For this to be achieved, a high-technology detection device recognizing changes in the earlier stages which can not he visually observed is needed. Development of early caries detection device has recently become a major issue in preventive dentistry on account of this need, and QLF(Quantitified Light induced Fluorescence) conspicuously stands out among the newly released devices. In this study, the fundamental concept of QLF(Quantitified Light induced Fluorescence) and the possible clinical applications of the earlier intraoral camera model as well as the recently designed digital camera model will be discussed.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.1155-1158
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• 1999

In this paper, we consider the optimal control of detection threshold to minimize the conditional mean-square state estimation error for the probabilistic data association (PDA) filter. Earlier works on this problem involved the cumbersome graphical optimization algorithm or time-consuming numerical optimization algorithm. Using the numerical approximation of information reduction factor, we obtained the closed-form optimal detection threshold. This results are very useful for real-time implemenation.

• Asian Pacific Journal of Cancer Prevention
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• 제14권11호
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• pp.6501-6505
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• 2013

To obtain a screening and early detection reference for individuals who have a family history of cancer on the paternal side, we collected and analyzed data from 240 pairs in which both fathers and their children were diagnosed with cancer. Disease categories of fathers and sons were similar to that of the general population of China, whereas daughters were different from general female population with high incidence of breast cancer and gynecological cancer. Sons were more likely than daughters to have the same type of cancer, or to have cancer in the same organ system as their fathers (P < 0.0001). Sons and daughters developed malignant diseases 11 and 16 years earlier than their fathers, respectively (P < 0.0001 for both sons and daughters). Daughters developed malignant diseases 5 years earlier than sons (P < 0.0001). Men with a family history of malignant tumors on the paternal side should be screened for malignancies from the age of 45 years, or 11 years earlier than the age of their fathers' diagnosis, and women should be screened from the age of 40 years, or 16 years earlier than the age at which their fathers were diagnosed with cancer. Lung cancer should be investigated in both men and women, whilst screening should focus on cancer of the digestive system in men and on breast and gynecological cancer (ovary, uterine and cervical cancer) in women.

• Asian Pacific Journal of Cancer Prevention
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• 제16권13호
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• pp.5211-5217
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• 2015

Background: We earlier used PCR-dHPLC for mutation analysis of BRCA1 and BRCA2. In this article we report application of targeted resequencing of 30 genes involved in hereditary cancers. Materials and Methods: A total of 91 patient samples were analysed using a panel of 30 genes in the Illumina HiScan SQ system. CLCBio was used for mapping reads to the reference sequences as well as for quality-based variant detection. All the deleterious mutations were then reconfirmed using Sanger sequencing. Kaplan Meier analysis was conducted to assess the effect of deleterious mutations on disease free and overall survival. Results: Seventy four of the 91 samples had been run earlier using the PCR-dHPLC and no deleterious mutations had been detected while 17 samples were tested for the first time. A total of 24 deleterious mutations were detected, 11 in BRCA1, 4 in BRCA2, 5 in p53, one each in RAD50, RAD52, ATM and TP53BP1. Some 19 deleterious mutations were seen in patients who had been tested earlier with PCR-dHPLC [19/74] and 5/17 in the samples tested for the first time, Together with our earlier detected 21 deleterious mutations in BRCA1 and BRCA2, we now had 45 mutations in 44 patients. BRCA1c.68_69delAG;p.Glu23ValfsX16 mutation was the most common, seen in 10/44 patients. Kaplan Meier survival analysis did not show any difference in disease free and overall survival in the patients with and without deleterious mutations. Conclusions: The NGS platform is more sensitive and cost effective in detecting mutations in genes involved in hereditary breast and/or ovarian cancers.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.305-306
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• 2006

To avoid the large scale of damage when fire occurs in the tunnel, it is necessary to have a system to minimize the damage, and early discovery of the problem. In this paper, we have proposed algorithm using the image processing, which is the high-speed detection for the occurrence of fire or smoke in the tunnel. The fire detection is different to the forest fire detection as there are elements such as car and tunnel lightings and other variety of elements different from the forest environment. Therefore, an indigenous algorithm should be developed.The two algorithms proposed in this paper, are able to complement with each other and also they can detect the exact position, at the earlier stay of detection. In addition, by comparing properties of each algorithm throughout this experiment, we have proved the propriety of algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.6018-6033
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• 2018

Fires are a common cause of catastrophic personal injuries and devastating property damage. Every year, many fires occur and threaten human lives and property around the world. Providing early important sign for early fire detection, and therefore the detection of smoke is always the first step in fire-alarm systems. In this paper we propose an automatic smoke detection system built on camera surveillance and image processing technologies. The key features used in our algorithm are to detect and track smoke as moving objects and distinguish smoke from non-smoke objects using a convolutional neural network (CNN) model for cascade classification. The results of our experiment, in comparison with those of some earlier studies, show that the proposed algorithm is very effective not only in detecting smoke, but also in reducing false positives.

• 한국독성학회:학술대회논문집
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• 한국독성학회 2003년도 춘계학술대회 논문집
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• pp.31-34
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• 2003

The monitoring of genotoxic effect or oxidative DNA damage in workers exposed to hazardous materials is increasingly applied for hazard identification or risk assessment purposes in workplaces. The current generation of biomarkers has the potential to allow for the earlier detection of occupational disease, for the reduction of misclassification of exposure and outcome. (omitted)

• Journal of the Optical Society of Korea
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• 제17권1호
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• pp.81-85
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• 2013

A miniaturized fluorescence detection system based on total internal reflection (TIR) configuration, which is applicable to detecting the presence of biological materials labeled with fluorescence dye in micro total analysis systems (${\mu}TAS$), is proposed. In conventional fluorescence testing and analysis devices, interference between the excitation light beam and the emitted light from dyes is unavoidable. This paper presents a fluorescence detection system based on TIR configuration that allows the excitation light beam and the emitted light to be spatially perpendicular to each other so as to minimize the interference where fluorescence emission is detected at the orthogonal angle to the excitation beam. We achieved the limit of detection of about 5 nmol/L with a high linearity of 0.994 over a wide range of 6-FAM mol concentration, being comparable to that in earlier studies.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.209-213
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• 2023

In recent years, the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is very important to discover the disease in the patient as possible as fast, especially in various cancer tumors such as the liver cancer. Liver cancer has been attracting the attention of medical and sciatic communities in the latest years because of its high prevalence allied with the difficult treatment. Statistics indicate that liver cancer, throughout world, is the one that attacks the greatest number of people. Over the time, study of MR images related to cancer detection in the liver or abdominal area has been difficult. Early detection of liver cancer is very important for successful treatment. There are few methods available to detect cancerous cells. In this paper, an automatic approach that integrates the intensity-based segmentation and k-means clustering approach for detection of cancer region in MRI scan images of liver.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.67-76
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• 2024

Diabetic retinopathy is a threatening complication of diabetes, caused by damaged blood vessels of light sensitive areas of retina. DR leads to total or partial blindness if left untreated. DR does not give any symptoms at early stages so earlier detection of DR is a big challenge for proper treatment of diseases. With advancement of technology various computer-aided diagnostic programs using image processing and machine learning approaches are designed for early detection of DR so that proper treatment can be provided to the patients for preventing its harmful effects. Now a day machine learning techniques are widely applied for image processing. These techniques also provide amazing result in this field also. In this paper we discuss various machine learning and deep learning based techniques developed for automatic detection of Diabetic Retinopathy.