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Hi <br><br>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?<br><br>Sincerely<br>Tom<br /><hr />Team India gets set to thwart Australia's quest for the final frontier. Catch the action on MSN <a href='http://sports.in.msn.com/' target='_new'>Try it now!</a></body>
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