Prostate segmentation from 2-D ultrasound images using graph cuts and domain knowledge

Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008

Volumn , Issue , 2008, Pages 359-362

  Zouqi, Mehrnaz ^a   Samarabandu, Jagath ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC WAVES; COMPUTER VISION; FUZZY INFERENCE; GRAPH THEORY; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; ROBOTICS; ULTRASONIC APPLICATIONS; ULTRASONIC IMAGING; ULTRASONICS;

COMPUTER AND ROBOT VISION; DOMAIN KNOWLEDGE; FUZZY INFERENCE SYSTEM; GRAPH CUTS; HARD CONSTRAINTS; PRIOR KNOWLEDGE; PROSTATE SEGMENTATION; ULTRASOUND IMAGES; USER INTERACTIONS;

COMPUTATIONAL GEOMETRY;

EID: 52049107607     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2008.15     Document Type: Conference Paper

References (5)

1. Y. Boykov and G. Funka-Lea. Graph cuts and efficient n-d image segmentation. International Journal of Computer Vision, 70(2):109-131, 2006.
2. Y. Boykov and V. Kolmogorov. An exprimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Transactions on PAMI, 26(9): 1124-1137, September 2004.
3. Y. Y. Boykov and M. P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. Proceedings of Internation Conference on Computer Vision, 1:105-112, July 2001.
4. N. D. Nanayakkara, J. Samarabandu, and A. Fenster. Prostate segmentation by feature enhancement using domain knowledge and adaptive region based operations. Physics in medicine and biology, 51:1831-1848, March 2006.
5. F. Shao, K. V. Ling, W. S. Ng, and R. Y. Wu. Prostate boundary detection from ultrasonographic images. Ultrasound Medicine, 22:605-623, February 2003.