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This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifier, with decision rules as tree leaves and binary operators (AND, OR) as tree nodes. Several image's local characteristics have been exploited, based on the image points' intensity levels, as well as taken from the texture...
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