Improved watershed transform for medical image segmentation using prior information

  title={Improved watershed transform for medical image segmentation using prior information},
  author={Vicente Grau and Andrea J. U. Mewes and Mariano Alca{\~n}iz Raya and Ron Kikinis and Simon K. Warfield},
  journal={IEEE Transactions on Medical Imaging},
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to medical image analysis, it has important drawbacks (oversegmentation, sensitivity to noise, poor detection of thin or low signal to noise ratio structures). We present an improvement to the watershed transform that enables the introduction of prior… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,545 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 355 extracted citations

Watershed segmentation of medical volumes with paint drop marking

2010 IEEE International Conference on Image Processing • 2010
View 4 Excerpts
Highly Influenced

PDE Based Algorithms for Smooth Watersheds

IEEE Transactions on Medical Imaging • 2015
View 5 Excerpts
Highly Influenced

Color image segmentation using a modified Fuzzy C-Means technique and different color spaces: Application in the breast cancer cells images

2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) • 2014
View 3 Excerpts
Highly Influenced

1,545 Citations

Citations per Year
Semantic Scholar estimates that this publication has 1,545 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 46 references

Fast robust automated brain extraction.

Human brain mapping • 2002
View 2 Excerpts

Similar Papers

Loading similar papers…