Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours

  title={Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours},
  author={Gregory G. Slabaugh and G{\"o}zde B. {\"U}nal and Tong Fang and Michael Wels},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric distribution as well as significant spatial correlation. Since these attributes can be difficult to model, many previous ultrasound segmentation methods oversimplify the problem by assuming that the noise is white and/or Gaussian, resulting in generic approaches that are actually more suitable to MR and X-ray segmentation… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
23 Citations
19 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 23 extracted citations


Publications referenced by this paper.
Showing 1-10 of 19 references

Speckle Phenomena: Theory and Applications

  • J. Goodman
  • Work in Progress, first edition,
  • 2005
2 Excerpts

Similar Papers

Loading similar papers…