Difference between revisions of "DBP2:MIND:itkBayesianLesion"

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(New page: ITK-based 2 stage lesion segmentation method developed by Vince Magnotta * stage one uses k-means tissue classification into grey, white, or csf of co-registered T1/T2 * stage two...)
 
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     * stage one uses k-means tissue classification into grey, white, or csf of co-registered T1/T2
 
     * stage one uses k-means tissue classification into grey, white, or csf of co-registered T1/T2
 
     * stage two use bayesian classifier into normal tissue or lesion using results of stage one and co-reigstered Flair
 
     * stage two use bayesian classifier into normal tissue or lesion using results of stage one and co-reigstered Flair
 +
[[Image:ItkBayesianLesion_example_results.jpg]]

Revision as of 13:23, 18 March 2008

Home < DBP2:MIND:itkBayesianLesion

ITK-based 2 stage lesion segmentation method developed by Vince Magnotta

   * stage one uses k-means tissue classification into grey, white, or csf of co-registered T1/T2
   * stage two use bayesian classifier into normal tissue or lesion using results of stage one and co-reigstered Flair

ItkBayesianLesion example results.jpg