Medical image segmentation is an important and difficult issue in medical image processing. The
performance of traditional pattern classification methods, which are based on the principle of
Experiential Risk Minimization, achieve the best, only when the number of training samples approaches
infinity. Unfortunately, the number of training samples is actually limited and the data dimension is high,
thus the performance of traditional pattern classification algorithms is de...
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