An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/160
An Insight Toolkit (ITK) filter for image segmentation with
applications to brain MRI scans is presented in this paper. Previously, we
showed how ITK could be used to implement our algorithm. This paper
presents our new ITK filter for Bayesian segmentation along with results
on brain MRI scans. Our algorithm is a refinement of the work of Teo,
Saprio, and Wandall. The basic idea is to incorporate prior knowledge
into the segmentation through Bayes rule. Image noise is removed via an
affine invariant anisotropic smoothing of the posteriors as in Haker et. al.
Specifically, we present the implementation of our Bayesian segmentation
algorithm applied to brain MRI scans.
Data
minus 13 Files (253Kb)
Code
There is no code review at this time.

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download All

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Paper Quality: plus minus

Information more
backyellow
Keywords: Segmentation, Bayesian, ITK, Brains
Toolkits: ITK (moved into the toolkit)
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
GeoInterp: Contour Interpolation with Geodesic Snakes
Geodesic Snakes GeoInterp: Contour Interpolation with Geodesic Snakes Geodesic Snakes
by Saboo R., Julian R., Stephen P.
Applying Image Mining to Support Gestational Age Determination Applying Image Mining to Support Gestational Age Determination
by Araujo A., Bellon O., Silva L., Vieira E., Cat M.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas