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Objective We present a method and a validation study for the nearly automatic segmentation of liver tumors in CTA scans. Materials and methods Our method inputs a liver CTA scan and a small number of user-defined seeds. It first classifies the liver voxels into tumor and healthy tissue classes with an SVM classification engine from which a new set of high- quality seeds is generated. Next, an...