Earticle

초록

영어

Colonic polyps appear like elliptical protrusions on the inner wall of the colon. The many proposed algorithms assumed the shape of a polyp as a spherical cap, so the algorithms are not flexible when the polyps are irregular shapes. In this paper, we propose a mapping using regional unit sphere (MuRUS) method to overcome the problem caused by unexpected polyp shapes. The MuRUS has shape invariant and size invariant properties. Our method was applied to colon CT images from 37 patients each having a prone and supine scan. There are 45 colonscopically confirmed polyps. The results obtained by our algorithm were compared with those gold standards. 100% of polyps >= 10mm in diameter were detected, 90% of polyps >= 6mm in diameter were detected and 70% of polyps < 6mm in diameter were detected at 7.0 FPs per patient.

목차

Abstract
 1. Introduction
 2. Mapping using Regional Unit Sphere
 3. The model parameters estimation of Hidden Markov Model
 4. Colonic Polyp Detection
  4.1. Pre-Processing and Segmentation
  4.2. Creation of Polyp Candidates
  4.3. Selection of the Best Candidates
 5. Experimental Results
 6. Discussions
 7. References

저자

• Park M. [ School of Design, Communication and IT, The University of Newcastle, Australia ]
• Jin S.J. [ School of Design, Communication and IT, The University of Newcastle, Australia ]
• Hofstetter R. [ IntelliRad Solution, East Hawthorn 3122, Victoria, Australia ]
• Xu M. [ School of Design, Communication and IT, The University of Newcastle, Australia ]
• Kang B.H. [ School of Computing, The University of Tasmania, Australia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605