Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing
MeVis Research GmbH - Center for Medical Image Computing, Bremen, Germany
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1419 |
Submitted by Jan hendrik Moltz on 08-11-2008.
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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by Xiang Deng on 07-25-2008 for revision #1 



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| Categories: | Distance maps, Filtering, Mathematical Morphology, Region growing, Segmentation, Thresholding |
| Keywords: | segmentation, liver metastases, MICCAI competition, |
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