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Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume
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This paper describes an ensemble segmentation trained by the AdaBoost algorithm, which finds a sequence of weak hypotheses, each of which is appropriate for the distribution on training example, and combines the weak hypotheses by a weighted majority vote. In [...]


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