A vectorial image classification method based on neighborhood weighted Gaussian mixture model

Abstract

The CT uroscan contains three to four time-spaced acquisitions of the same patient. Registration of these acquisitions forms a vectorial volume, which contains a more complete anatomical information. In order to outline the anatomical structures, multi-dimensional classification is necessary for analyzing this vectorial volume. Because of the partial volume… (More)
DOI: 10.1109/IEMBS.2008.4649563

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