[Insight-users] Query

[Tom Nash]

Hi 

I have been using the ImageKMeansModelEstimator and the
ImageClassifierBase for a multi-spectral segmentation of brain MRI. I
feel the results I got are great but I still could make them better. At
some parts I feel that the classifier is confused and classifies it
wrongly. Any advice on fine tuning the output?Right now the outputs are
equivalent to FSL's segmentation results, but I need to better it.
Please give me some suggestions based on your experiences. Is there a
better algorithm\class which I could use?

Sincerely
Tom
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