Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels

This paper presents a new, automatic method of accurately extracting lesions from CT data. It first determines, at each voxel, a five-dimensional (5D) feature vector that contains intensity, shape index, and 3D spatial location. Then, nonparametric mean shift clustering forms superpixels from these...

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Bibliographic Details
Main Authors: Xujiong Ye, Gareth Beddoe, Greg Slabaugh
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2010/983963
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