• 제목/요약/키워드: Image Diagnosis

검색결과 1,396건 처리시간 0.028초

Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging

  • Yusuke Horiuchi;Toshiaki Hirasawa;Junko Fujisaki
    • Clinical Endoscopy
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    • 제57권1호
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    • pp.11-17
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    • 2024
  • Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were small-scale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.

EM기반 관계기법을 이용한 의료영상 분석 (Analysis of Medical Images Using EM-based Relationship Method)

  • 김형일
    • 한국컴퓨터정보학회논문지
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    • 제14권12호
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    • pp.191-199
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    • 2009
  • 의료영상에 대한 영상정보와 진단정보를 공유하는 환경으로 사용되는 의료영상 시스템은 효과적인 진단 보조 도구로 활용된다. 대규모 의료기관과 협력기관들은 통합 의료정보 시스템이 구축되어 영상정보와 진단정보를 공유할 수 있다. 그러나 통합 의료정보 시스템은 단순히 정보의 저장과 전송만을 제공한다. 이러한 문제점을 해결하고 진단 활동의 효율성을 높이기 위해서는 의료영상 분석 시스템이 필요하다. 본 논문에서 제안한 관계기법은 속성 생성을 위해 의료영상을 분석하고, 본 기법 하에 의료영상은 여러 개의 객체로 분할되며, 의료영상 속성들은 분할된 영상에서 추출된다. 추출된 속성들은 의료영상 분석을 위해 관계기법에 적용된다. 몇 가지 실험 결과를 통해 제안 기법의 효과를 확인하였다.

Flame Diagnosis using Image Processing Technique

  • Kim, Song-Hwan;Lee, Tae-Young;Kim, Myun-Hee;Bae, Joon-Young;Lee, Sang-Ryong
    • International Journal of Precision Engineering and Manufacturing
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    • 제3권2호
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    • pp.45-51
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    • 2002
  • Recently the interest for the environment is increasing. So the criterion for the evaluation of the burner has changed. For efficient driving problem, if the thermal efficiency is higher and the oxygen in exhaust gas is lower, then burner is evaluated better. For environmental problem. burner must satisfy NOx limit, soot limit and CO limit. Generally the experienced operator judge of the combustion status of the burner by the color of flame. we don't still have any satisfactory solution against it. the relation of the combustion status and the color of the flame hasn't still been established. This paper is the study about the relation of the combustion status and the color of the flame. This paper describes development of real time flame diagnosis technique that evaluate and diagnose combustion state such as consistency of components in exhaust gas, stability of flame in quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using image processing algorithm, the parameter extracted from the image of the flame was used as the input variables of the flame diagnostic system. at first, linear regression algorithm and multiple regression algorithm was used to obtain linear multi-nominal expression. Using the constructed inference algorithm, the amount of NOx and CO of the combustion gas was successfully inferred. the combustion control system will be realized sooner or later.

Digora$\textregistered$ 영상시스템을 이용한 인접면 인공 치아우식병소의 진단능에 관한 연구 (A Study on the Diagnostic Detection Ability of the Artificial Proximal Caries by Digora$\textregistered$)

  • 오경란;최의환;김재덕
    • 치과방사선
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    • 제28권2호
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    • pp.415-433
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    • 1998
  • Digora system is an intraoral indirect digital radiography system utilizing storage phosphor image plate. It has wide dynamic range which allows it to decrease the patient s exposure time and may increase diagnostic ability through image processing (such as edge enhancement, grey scale conversion, brightness change, and contrast enhancement). And also, it can transmit and storage image information. The purpose of this study was to evaluate the diagnostic ability of artificial proximal caries between Conventional radiograph and Digora images(unenhanced image, brightness & contrast controlled image, and edge enhanced image). ROC(Receiver Operating Characteristic) analysis, paired t-tests, and F-tests were done for the statistical evaluation of detectability. The following results were acquired: 1. In Grade I lesions, the mean ROC areas of Conventional radiograph, Digora unenhanced image, Digora controlled image, and Digora edge enhanced image were 0.953, 0.933, 0.965, 0.978 (p>0.05). 2. In Grade II lesions, the mean ROC areas of Conventional radiograph, Digora unenhanced image, Digora controlled image, and Digora edge enhanced image were 0.969, 0.964, 0.988, 0.994. Among theses areas, there was just statistical significance between Diagnostic abilities of Digora edge enhanced image and Conventional radiograph (p<0.05). 3. In the Interobserver variability, the ROC curve areas of Digora edge enhanced image was lowermost in these areas, regardless of the Carious lesion depths. In conclusion, intraoral indirect digital system, Digora system, has the potential possibility as an alternative of Conventional radiograph in the diagnosis of proximal caries.

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정상 골격근의 근전도 중앙주파수 및 초음파 영상 밀도 분석 (Analysis of sEMG Median frequency and Ultrasound Image Echodensity of Normal Skeletal Muscle)

  • 정진규;김용남;황태연;이정우;김태열
    • The Journal of Korean Physical Therapy
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    • 제18권1호
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    • pp.83-94
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    • 2006
  • Purpose: This study conducts quantitative evaluation or structural and functional characteristics or normal skeletal muscle with ultrasound image and surface electromyography, and is to provide basic materials for utilizing ultrasound image analysis in physical therapy diagnosis and assessment of skeletal muscle. Methods: Measurement of three stages was conducted with 88 normal adults between their twenties and seventies, correlations and differences using collected data according to age and gender were compared and correlations among measured items were analyzed and then the following conclusions were obtained. Results: Analysis of ultrasound image of normal skeletal muscle showed that density, median frequency had the closest relations with age. In addition, it was found that there were high correlations between density explaining structural characteristics of skeletal muscle and median frequency explaining functional characteristics. Conclusion: Analysis of ultrasound image makes complex evaluation of structure and function of skeletal muscle possible when it is connected with functional evaluation method using physical measurement surface electromyography as well as quantitative evaluation of structural changes of skeletal muscle and is effective in complementing physical therapy diagnosis centering around functionality evaluation.

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Segmentation by Contour Following Method with Directional Angle

  • Na, Cheol-Hun;Kim, Su-Yeong;Kang, Seong-Jun
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.874-877
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    • 2012
  • This paper proposes the new method based on contour following method with directional angle to segment the cell into the nuclei. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal(two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully diagnosed as normal and abnormal. this paper, improved method of digital image analysis required in basic medical science for diagnosis of cells was proposed. The object image was the Thyroid Gland cell image with difference of chromatin patterns. To segment the cell nucleus from background, the region segmentation algorithm by edge tracing was proposed. And feature parameter was obtained from discrete Fourier transformation of image. After construct a feature sample group of each cells, experiment of discrimination was executed with any verification cells. As a result of experiment using features proposed in this paper, get a better segmentation rate(70-90%) than previously reported papers, and this method give shape to get objectivity and fixed quantity in diagnosis of cells. The methods described in this paper be used immediately for discrimination of neoplastic cells.

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영역 특징 학습을 이용한 혀의 자동 영역 분리 및 한의학적 설진 시스템 (Automatic segmentation of a tongue area and oriental medicine tongue diagnosis system using the learning of the area features)

  • 이민택;이규원
    • 한국정보통신학회논문지
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    • 제20권4호
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    • pp.826-832
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    • 2016
  • 본 논문에서는 고가의 디지털 설진 장비와 특별한 장치 없이 누구나 손쉽게 사용할 수 있는 디지털 설진 시스템의 첫 단계로 미각 영역별 균열 유무를 판별하는 시스템을 제안한다. 훈련 DB는 한방 병원에서 수집한 사진 261장을 바탕으로 Haar-like feature, Adaboost 학습을 하였다. 학습된 결과를 통하여 입력영상으로부터 혀 후보영역을 검출하고, 검출된 혀 후보영역으로부터 혀 영역만을 분리하기 위하여 261장의 훈련 DB의 HSV 컬러모델의 Hue 성분 평균 값을 산출하였다. 검출된 혀 윤곽으로부터 Connected Component Labeling을 통하여 혀 영역을 분리 하였다. 분리된 혀 영역의 상대적 너비와 높이를 이용하여 미각 영역별 로 분할하였다. 분할된 미각 영역별 영상은 Gray영상으로 변환하고, 각각의 영역별 평균 밝기를 산출하여 이진화하였다. 이진화 영상에 Connected Component Labeling을 통하여 균열 유무를 판별하였다.

심장 질환 진단을 위한 얼굴 주요 영역 및 색상 추출 (Main Region and Color Extraction of Face for Heart Disease Diagnosis)

  • 조동욱
    • 정보처리학회논문지B
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    • 제13B권3호
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    • pp.215-222
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    • 2006
  • 한방 진단 이론과 IT 기술의 융합화를 통한 국민 건강 증진이 새로운 과제로 떠오르고 있다. 이를 위해서는 한방의 진단 방법을 시각화, 객관화, 정량화하여 진단에 필요한 임상 자료를 제공하는 것이 우선적으로 필요하다. 특히, 한방의 망진(望診) 기법이 좀 더 객관화되고 시각화되어 정확한 질환 진단을 내릴 수 있다면 한방 진단 분야에 가장 큰 발전적 기회를 제공할 것으로 여겨진다. 본 연구에서는 우리 몸의 중심 기관이며 정신과 육체의 근원지인 심장의 질환 여부를 진단할 수 있는 시스템을 개발하기 위해 한방에서 제시하고 있는 심장 질환에 관한 내용을 분석하여 영상 처리 기술을 이용한 진단의 시각화에 연구의 목적을 두었다. 이를 위해 본 논문은 전체 시스템 중 우선 색상 보정을 통해 얼굴영상을 입력받아 얼굴 영역 분할을 행하고 얼굴 형태를 분석하여 한방의 망진 방법에 근거하여 심장 질환 진단에 필요한 얼굴 특징 요소인 명당을 추출하고자 한다. 최종적으로 실험에 의해 제안한 방법의 유용성을 입증하고자 한다.

인공신경망을 이용한 X-선 흥부영상 등화 (A study on Equalization of X-Ray Chest Radiograph using Artificial Neural Networks)

  • 이주원;이한욱;이종회;신태민;김영일;이건기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.1059-1062
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    • 1999
  • Recently, X-ray chest radiograph is showing a tendency to take an image of digital radiograph so as to diagnose the pathological pattern of chest in a usual. When the radiologist observes the chest image derived from digital radiograph system on the monitor. he feels difficult to find out because of the sensitivity of chest radiograph. It takes amount of time to adjust the proper image for diagnosis. Therefore, we provided the result and the method of the optimal image equalization for image enhancement.

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Leak Evaluation for Power Plant Valve Using Multi-Measuring Method

  • Lee, Sang-Guk;Park, Jong-Hyuck;Kim, Young-Bum
    • 비파괴검사학회지
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    • 제28권6호
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    • pp.469-476
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    • 2008
  • Condition based maintenance(CBM) for the preventive diagnosis of important equipments related to safety or accident in power plant is essential by using the suitable methods based on actual power plant conditions. To improve the reliability and accuracy of the measured value at the minute leak situation, and also to monitor continuously internal leak condition of power plant valve, the development of a diagnosis and monitoring technique using multi-measuring method should be performed urgently. This study was conducted to estimate the feasibility of multi-measuring method using three different methods such as acoustic emission(AE) method, thermal image measurement and temperature difference$({\Delta}T)$ measurement that are applicable to internal leak diagnosis for the power plant valve. From the experimental results, it was suggested that the multi-measuring method could be an effective way to precisely diagnose and evaluate internal leak situation of valve.