• 한국컴퓨터정보학회논문지
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• 제28권4호
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• pp.13-20
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• 2023

본 논문에서는 데이터의 이상을 탐지하고 예측하는 모델을 통해 VOC 저감 설비에서 실측한 데이터를 분석했다. 이상 탐지 분야에서 안정적인 성능을 보이는 USAD 모델을 이용하여 실시간 데이터의 이상을 탐지하고 이상 원인이 되는 센서를 탐색한다. 또한 자기 회귀 모델을 통해 미래의 이상치를 예측하여 이상이 발생할 시점을 예측하고 경고하는 방법을 제안한다. 실험은 VOC 저감 설비에서 실측한 데이터를 이용하여 시스템의 이상을 탐지할 수 있는지 검증하는 실험을 진행했으며 이상 탐지 실험 결과는 정밀도, 재현율, F1-점수가 각각 98.54%, 89.08%, 93.57%로 높은 성능의 탐지율을 보였다. 센서 별 학습된 모델의 성능은 8개 센서의 정밀도, 재현율, F1-점수를 평균한 결과 각각 99.64%, 99.37%, 99.63%로 높은 성능의 탐지율을 보였다. 또한, 센서 별 탐지 실험에 대한 타당성을 확인하기 위해 구한 해밍 손실은 0.0058로 안정적인 성능을 보였다. 그리고 이상 예측 실험 결과는 평균절대오차 0.0902로 안정적인 성능을 보였다.

• Imaging Science in Dentistry
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• 제40권1호
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• pp.25-32
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• 2010

Purpose : This study was designed to evaluate the efficacy and utility of panoramic radiograph for the improvement of the periodic oral examinations. Materials and Methods : Clinical examinations and panoramic examinations were done for the 242 subjects of oral examinations. The results of panoramic radiograph interpretation were compared with the clinical findings. Two questionnaires were created. One was carried out before the panoramic examination and the other done afterwards, to find out the subjects' cognition and satisfaction for the clinical and panoramic examinations. Results : 1. Panoramic findings showed a higher detection rate of 31.9% for periodontal diseases, and 23.1% for dental caries than clinical findings. 2. The additional abnormalities detected through panoramic examinations were impacted tooth in 81 subjects (33.6%), maxillary sinus abnormalities in 28 subjects (11.6%), condylar abnormalities in 5 subjects (2.1%), congenital and acquired dental anormalies in 59 subjects (24.5%), and other miscellaneous abnormalities in 34 subjects (14.1%). 3. 164 subjects (67.8%) were satisfied with the current periodic oral examination, and 75 subjects (31.1%) hoped for better accuracy. 4. In the first and second questionnaire, 154 subjects (67.0%) and 163 subjects (70.6%) responded respectively that panoramic examination was necessary, and 193 subjects (83.2%) responded that it actually helped. Conclusion : The panoramic examination was revealed to improve the effectiveness of the periodic oral examination and to increase the satisfaction of the subjects of examination.

• Asian Pacific Journal of Cancer Prevention
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• 제16권18호
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• pp.8495-8501
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• 2016

Purpose: This study was conducted to assess the agreement and differences between cervical self-sampling with a Kato device (KSSD) and gynecologist sampling for Pap cytology and human papillomavirus DNA (HPV DNA) detection. Materials and Methods: Women underwent self-sampling followed by gynecologist sampling during screening at two primary health clinics. Pap cytology of cervical specimens was evaluated for specimen adequacy, presence of endocervical cells or transformation zone cells and cytological interpretation for cells abnormalities. Cervical specimens were also extracted and tested for HPV DNA detection. Positive HPV smears underwent gene sequencing and HPV genotyping by referring to the online NCBI gene bank. Results were compared between samplings by Kappa agreement and McNemar test. Results: For Pap specimen adequacy, KSSD showed 100% agreement with gynecologist sampling but had only 32.3% agreement for presence of endocervical cells. Both sampling showed 100% agreement with only 1 case detected HSIL favouring CIN2 for cytology result. HPV DNA detection showed 86.2%agreement (K=0.64, 95% CI 0.524-0.756, p=0.001) between samplings. KSSD and gynaecologist sampling identified high risk HPV in 17.3% and 23.9% respectively (p=0.014). Conclusion: The self-sampling using Kato device can serve as a tool in Pap cytology and HPV DNA detection in low resource settings in Malaysia. Self-sampling devices such as KSSD can be used as an alternative technique to gynaecologist sampling for cervical cancer screening among rural populations in Malaysia.

• 한국융합학회논문지
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• 제12권2호
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• pp.1-6
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• 2021

현대사회에서는 차량을 소유하는 사람들이 증가하면서 교통문제가 발생하고 있다. 특히 고속도로 교통사고 문제는 발생률이 낮지만 치사율은 높다. 따라서 차량의 이상을 탐지하는 기술이 연구되고 있다. 이 중에는 딥러닝을 이용한 차량 이상탐지 기술이 있다. 이는 사고 및 엔진고장으로 인한 정차차량 등의 차량 이상을 탐지한다. 그러나 도로에서 이상이 발생할 경우 운전자의 위치를 파악할 수 있어야 빠른 대처가 가능하다. 따라서 본 연구에서는 도로 CCTV 데이터를 활용한 딥러닝 기반 차량 이상 감지 방법을 제안한다. 제안하는 방법은 먼저 도로 CCTV 데이터를 전처리한다. 전처리는 배경 추출 알고리즘인 MOG2를 이용하여 배경과 전경을 분리한다. 전경은 변위가 존재하는 차량을 의미하며 도로 위에서 이상이 존재하는 차는 변위가 없어 배경으로 판단된다. 배경이 추출된 이미지는 이상을 탐지하기 위해 YOLOv4를 이용하여 객체를 탐지한다. 해당 차량은 이상이 있음으로 판단한다.

• Journal of Korean Neurosurgical Society
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• 제30권12호
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• pp.1417-1421
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• 2001

Objective : The purposes of this study are to compare imaging features with operative findings and to determine significance of imaging studies for early detection of craniosynostosis(CS). Methods : Plain radiograph of skull and three-dimensional(3D) CT reconstruction were analyzed in 10 consecutive patients with CS to assess the presence and the extent of synostosis. The radiological findings were investigated and compared with operative findings. Results : The locations of lesion were coronal suture in 6, sagittal suture in 3 and multiple sutures in one patient, and the age ranged 1 to 53 months(mean age : 17.4 months). Reconstructive procedures with or without advancement of supraorbital rim were performed in coronal CS patients and ${\pi}$-procedures or synostectomy were done in sagittal CS patients. Radi-ological abnormalities such as sutural indistinctness or sclerosis, bony ridge, bossing and other bony deformities were nearly consistent with surgical findings. Conclusion : The interpretation of imaging study are very important for early detection of craniosynostosis, especially, the plain radiographs of skull. Also 3D CT imaging is helpful in diagnosis and surgical planing of craniosynostosis. There are no significant differences between imaging features and operative findings in CS patients.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.1-8
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• 2021

Prostate cancer is one of the most diagnosed malignancies found across the world today. American cancer society in recent research predicted that over 174,600 new prostate cancer cases found and nearly 31,620 death cases recorded. Researchers are developing modest and accurate methodologies to detect and diagnose prostate cancer. Recent work has been done in radiology to detect prostate tumors using ultrasound imaging and resonance imaging techniques. Transrectal ultrasound and Magnetic resonance images of the prostate gland help in the detection of cancer in the prostate gland. The proposed paper is based on comparison and analysis between two novel image segmentation approaches. Seed region growing and cluster based image segmentation is used to extract the region from trans-rectal ultrasound prostate and MR prostate images. The region of extraction represents the abnormality area that presents in men's prostate gland. Detection of such abnormalities in the prostate gland helps in the identification and treatment of prostate cancer

• Journal of Medicine and Life Science
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• 제20권1호
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• pp.48-52
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• 2023

High-grade serous carcinoma (HGSC) is the most common type of pelvic cancer among women. Serous tubal intraepithelial carcinoma (STIC) is a precursor lesion of HGSC. Herein, we report a rare occurrence of STIC in patients undergoing surgery for benign indications without a family history of ovarian cancer. A 77-year-old woman underwent total laparoscopic hysterectomy and bilateral salpingo-oophorectomy for uterine prolapse. Pathological examination revealed bilateral STIC without ovarian abnormalities, and no other abnormal findings were noted. Another patient, a 49-year-old woman, underwent laparoscopic total hysterectomy and bilateral salpingectomy for uterine fibroids. STIC lesions were observed in both fallopian tubes. Subsequently, a staging was performed. No additional lesions were found, and the patient was followedup through imaging and blood tests. As reports of STIC lesions are rare, data on their clinical outcomes and management strategies are limited. In this report, we present cases of incidental STIC in benign surgery and discuss its proper interpretation and management. Through the early detection of STIC lesions, patients with risk factors can be identified in advance, which will allow prevention and early detection of ovarian cancer. Opportunistic salpingectomy was also actively discussed in this regard.

• 대한임베디드공학회논문지
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• 제18권2호
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• pp.41-50
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• 2023

Gait analysis is an important tool in the clinical management of cerebral palsy, allowing for the assessment of condition severity, identification of potential gait abnormalities, planning and evaluation of interventions, and providing a baseline for future comparisons. However, traditional methods of gait analysis are costly and time-consuming, leading to a need for a more convenient and continuous method. This paper proposes a method for analyzing the posture of cerebral palsy patients using only smartphone videos and deep learning models, including a ResNet-based image tilt correction, AlphaPose for human pose estimation, and SmoothNet for temporal smoothing. The indicators employed in medical practice, such as the imbalance angles of shoulder and pelvis and the joint angles of spine-thighs, knees and ankles, were precisely examined. The proposed system surpassed pose estimation alone, reducing the mean absolute error for imbalance angles in frontal videos from 4.196° to 2.971° and for joint angles in sagittal videos from 5.889° to 5.442°.

• 산업경영시스템학회지
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• 제46권4호
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• pp.173-180
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• 2023

Smart factory companies are installing various sensors in production facilities and collecting field data. However, there are relatively few companies that actively utilize collected data, academic research using field data is actively underway. This study seeks to develop a model that detects anomalies in the process by analyzing spindle power data from a company that processes shafts used in automobile throttle valves. Since the data collected during machining processing is time series data, the model was developed through unsupervised learning by applying the Holt Winters technique and various deep learning algorithms such as RNN, LSTM, GRU, BiRNN, BiLSTM, and BiGRU. To evaluate each model, the difference between predicted and actual values was compared using MSE and RMSE. The BiLSTM model showed the optimal results based on RMSE. In order to diagnose abnormalities in the developed model, the critical point was set using statistical techniques in consultation with experts in the field and verified. By collecting and preprocessing real-world data and developing a model, this study serves as a case study of utilizing time-series data in small and medium-sized enterprises.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.454-456
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• 2002

The evaluation of interval changes between temporally sequential chest radiographs is necessary for the detection of new abnormalities or interval changes, such as pulmonary nodules and interstitial disease. For interstitial lung disease, the interval changes are very important for diagnosis and treatment. Especially, interstitial lung disease may show rapid changes in the radiographs, show changes in the entire lung field in minute detail, or show changes in multiple parts depending on the type. It is therefore difficult to have an accurate grasp of the condition of the disease only with conventional radiographs. The temporal subtraction technique which was developed at the University of Chicago, provides a subtraction image of the current warped image and the previous image. A temporal subtraction image, shows only differences and changes between the two images, can be very useful for a diagnosis of interstitial lung disease. However, the evaluation of the temporal subtraction technique for interstitial lung disease using receiver operating characteristic(ROC) studies has not been reported yet. Therefore, we have evaluated the clinical usefulness of a temporal subtraction technique for detection of interval changes of interstitial lung disease by ROC analysis.