Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing
Jan Hendrik Moltz, Lars Bornemann, Volker Dicken, Heinz‐Otto Peitgen · 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.