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This paper studies Self-Organizing Map (SOM) based adaptive thresholding technique for semi-automatic image segmentation. CT images of patients with nasopharyngeal carcinoma are considered in the study. The thresholds are determined from histogram of a topological map created from SOM method. With this proposed technique, initial tumor pixel must be manually selected. Pixels which are in the same...
Many nodule measurement methods rely on accurate segmentation of the nodule and may fail with complex nodule morphologies; often slight variations in segmentation result in large volume differences. A method, growth analysis from density (GAD), is presented that measures nodule growth without explicit segmentation through the application of a Gaussian weighting function to a region around the nodule,...
Prior to the liver transplantation and tumor resection operations, the extraction of the vessel system which specifies the segments of the liver, from the Computed Tomography Angiography (CTA) images is an important organ segmentation task. In this paper, the computer experiment results on the application of the Hessian based vessel filter for the extraction of the liver vessels and the labeling of...
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