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Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing
64
Zitationen
4
Autoren
2008
Jahr
Abstract
This article presents an algorithm for the segmentation of liver metastases in CT scans. It is a hybrid method that combines adaptive thresholding based on a gray value analysis of the ROI with model-based morphological processing. We show the results of the MICCAI liver tumor segmentation competition 2008 which were successful for all ten tumors.
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