A learning based approach for 3D segmentation and colon detagging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3953 LNCS, Issue , 2006, Pages 436-448

  Tu, Zhuowen ^a   Zhou, Xiang ^b   Comaniciu, Dorin ^a   Bogoni, Luca ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b CAD Solutions Siemens Medical Solutions ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER VISION; LEARNING SYSTEMS; PROBLEM SOLVING; TREES (MATHEMATICS);

COLON DETAGGING; DISCRIMINATIVE MODEL RATIO; INTRA-CLASS VARIATION; TOPOLOGY REPRESENTATION;

IMAGE SEGMENTATION;

EID: 33745809195     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744078_34     Document Type: Conference Paper

References (15)

1. K. P. Bennett and J. A. Blue, "A Support Vector Machine Approach to Decision Trees", Proc. of IJCNN, 1998.
2. L. Breiman, J. H. Friedman, R. A. Olshon, arid C. J. Stone, "Classification and Regression Trees", Wadsworth International, Belmont, Ca, 1984.
3. D. Chen, Z. Liang, M. Wax, L. Li, B. Li, and A. Kaufman, "A Novel Approach to Extract Colon Lumen from CT Images for Virtual Colonoscopy", IEEE Tran. Medical Imaging, vol. 19, no, 12, 2000.
4. R.H. Davies, C.J. Twining, T.F. Cootes, J.C. Waterton, C..J. Taylor, "3D Statistical Shape Models Using Direct Optimisation of Description Length", ECCV, 2002.
5. Y. Freund and R. Schapire, "A Decision-theoretic Generalization of On-line Learning And an Application to Boosting", J. of Comp. and Sys. Sci., 55(1), 1997.
6. J. Friedman, T. Hastie and R. Tibshirani, "Additive logistic regression: a statistical view of boosting", Dept. of Statistics, Stanford Univ. Technical Report, 1998.
7. G. Malandain, G. Bertrand, N. Ayache, "Topological Segmentation of Discrete Surfaces", Intl. J. of Computer Vision, 10(2), 1993.
8. D. Mumford and J. Shah, "Optimal approximation by piecewise smooth functions and associated variational problems", Comm. Pure Appl. Math., 42:577685, 1989.
9. Z. Tu, "Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering", Proc. of ICCV, 2005.
10. Z. Tu, "An Integrated Framework for Imago Segmentation and Perceptual Grouping", Proc. of ICCV, 2005.
11. S. Pizer et al., "Deformable M-Reps for 3D Medical Image Segmentation", Intl. J. of Computer Vision, 55(2), 2003.
12. J.A. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999.
13. P. Viola and M. Jones, "Fast Multi-view Face Detection", Proc. of CVPR, 2001.
14. A. Yezzi and S. Soatto, "Stereoscopic segmentation", Intl. J. of Computer Vision, 53(1), 2003.
15. M. E. Zalis, J. Perumpillichira, and P. F. Hahn, "Digital Subtraction Bowel Cleansing for CT Colonography Using Morphological and Linear Filtration Methods", IEEE Trans. Medical Imaging, vol. 23, no. 11, 2004.