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      유방 초음파 영상의 CAD 적용을 위한 Segmentation 알고리즘 제안 = The Proposal of Segmentation Algorithm for the Applying Breast Ultrasound Image to CAD

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      https://www.riss.kr/link?id=A60213867

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      다국어 초록 (Multilingual Abstract)

      The objective of this paper is to design segmentation algorithm for applying the breast ultrasound image to CAD(Computer Aided Diagnosis). This study is conducted after understanding limits, used algorithm and demands of CAD system by interviewing wit...

      The objective of this paper is to design segmentation algorithm for applying the breast ultrasound image to CAD(Computer Aided Diagnosis). This study is conducted after understanding limits, used algorithm and demands of CAD system by interviewing with a medical doctor and analyzing related works based on a general CAD framework that is consisted of five step-establishment of plan, analysis of needs, design, implementation and test & maintenance. Detection function of CAD is accomplished by Canny algorithm and arithmetic operations for segmentation. In addition to, long computing time is solved by extracting ROI (Region Of Interests) and applying segmentation technical methods based morphology algorithm. Overall course of study is conducted by verification of medical doctor. And validity and verification are satisfied by medical doctor's confirmation. Moreover, manual segmentation of related works, restrictions on the number of tumor and dependency of image resolution etc. was solved. This study is utilized as a support system aided doctors' subjective diagnosis even though a lot of future studies is needed for entire application of CAD system.

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      목차 (Table of Contents)

      • 1. 서론
      • 2. CAD 요건 분석
      • 3. 선행 연구
      • 4. Segmentation
      • 5. 결론
      • 1. 서론
      • 2. CAD 요건 분석
      • 3. 선행 연구
      • 4. Segmentation
      • 5. 결론
      • 참고문헌
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      참고문헌 (Reference)

      1 구락조, "유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출" 한국산업경영시스템학회 31 (31): 74-82, 2008

      2 Guralnik, V., "Workshop on Data Mining in Bioinformatics" 73-., 2001

      3 Chung, S. Y., "Ultrasonography in Paget’s Disease of the Breast : Comparison with Mammography Findings" 20 : 137-142, 2001

      4 Yoon, H. J., "The effective computer aided methods for measurement plaque of carotid in ultrasound image" 23 : 105-111, 2004

      5 Leucht, W., "Teaching Atlas of Breast Ultrasound" Thieme Medical 24-38, 2000

      6 Stavros, A. T., "Solid breast nodules : Use of sonography to distinguish between benign and malignant lesions" 196 : 123-134, 1995

      7 Jain, R., "Machine Vision" McGraw -Hill 169-173, 1995

      8 Parg, H. B., "Interview"

      9 Udupa, J. K., "Fuzzy connectedness and object definition : Theory, algorithms, and applications in image segmentation" 58 (58): 246-261, 1996

      10 Jung, I. S., "Automatic segmentation and Diagnosis of breast lesions based on ultrasound, 2004 Fall Conference of ESK/HCI"

      1 구락조, "유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출" 한국산업경영시스템학회 31 (31): 74-82, 2008

      2 Guralnik, V., "Workshop on Data Mining in Bioinformatics" 73-., 2001

      3 Chung, S. Y., "Ultrasonography in Paget’s Disease of the Breast : Comparison with Mammography Findings" 20 : 137-142, 2001

      4 Yoon, H. J., "The effective computer aided methods for measurement plaque of carotid in ultrasound image" 23 : 105-111, 2004

      5 Leucht, W., "Teaching Atlas of Breast Ultrasound" Thieme Medical 24-38, 2000

      6 Stavros, A. T., "Solid breast nodules : Use of sonography to distinguish between benign and malignant lesions" 196 : 123-134, 1995

      7 Jain, R., "Machine Vision" McGraw -Hill 169-173, 1995

      8 Parg, H. B., "Interview"

      9 Udupa, J. K., "Fuzzy connectedness and object definition : Theory, algorithms, and applications in image segmentation" 58 (58): 246-261, 1996

      10 Jung, I. S., "Automatic segmentation and Diagnosis of breast lesions based on ultrasound, 2004 Fall Conference of ESK/HCI"

      11 Anant, M., "Automatic boundary extraction of ultrasonic breast leisons" 2002 IEEE International Symposium on Biomedical imaging 601-604, 2002

      12 Huang, Y. L., "Automatic Contouring for Breast Tumors in 2-D Sonography" 3225-3228, 2005

      13 Liu, X., "Automated segmentation of breast lesions in ultrasound images" 7433-7435, 2005

      14 Canny, John., "A Computational Approach to Edge Detection" 679-698, 1986

      15 Chang R. F., "3-D Snake for US in Margin Evaluation for Malignant Breast Tumor Excision Using Mammotome" 7 (7): 197-201, 2003

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
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      2005-10-26 학술지명변경 한글명 : 산업공학지 -> 산업공학(IE interfaces) KCI등재
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      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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