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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><br /><hr />Free up your senses. Experience reality up close on MSN video <a href='http://video.msn.com/?mkt=en-in' target='_new'>Try it!</a></body>
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