Earticle

초록

영어

Diagnosis of appendicitis is an area of interest in clinical research since long. Specifically speaking, accurate diagnosis of acute appendicitis is important since it needs subsequent surgical operations and particularly if the patient is a pregnant woman or a child. However, after ultrasonography, medical expert's naked-eye examination is finally done, which is being practiced till date. Although developing full automatic appendicitis diagnosing software is a far reach goal to achieve since there are still many techniques and theories yet to be developed, but an automatic appendix extracting software can definitely developed in near future, which is now the interest of study of many researchers. In this paper, a method is proposed to extract appendix automatically from a ultrasound image. The proposed method uses various image processing techniques with morphological features of appendix. The advantages of Cubic Spline interpolation for extracting fascia area and subsequently applying K- Means clustering for extraction of appendix from the image is being discussed in this paper. Experimental result shows the appendix extracted through this method is acceptable to medical expert.

목차

Abstract
 1. Introduction
 2. Removing Fascia Area
 3. Extracting Appendix Object
 4. Result Analysis
 5. Conclusion
 References

키워드

저자

• Seung Ik Park [ Dept. of Computer Engineering, Silla University, 140 Baegyang-daero(Blvd) 700 beon-gil(Rd), Sasang-gu, Busan 617-736, Korea ]
• Hyun Jun Park [ Dept. of Computer Engineering, Pusan National University, Jangjeon 2-dong, Geumjeong-gu, Busan 609 -735, Korea ]
• Kwang Beak Kim [ Dept. of Computer Engineering, Silla University, 140 Baegyang-daero(Blvd) 700 beon-gil(Rd), Sasang-gu, Busan 617-736, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605