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  • Title: Decomposition of three-dimensional medical images into visual patterns.
    Author: Dosil R, Pardo XM, Fdez-Vidal XR.
    Journal: IEEE Trans Biomed Eng; 2005 Dec; 52(12):2115-8. PubMed ID: 16366236.
    Abstract:
    In this paper, we present a method for the decomposition of a volumetric image into its most relevant visual patterns, which we define as features associated to local energy maxima of the image. The method involves the clustering of a set of predefined bandpass energy filters according to their ability to segregate the different features in the image, thus generating a set of composite-feature detectors tuned to the specific visual patterns present in the data. Clustering is based on a measure of statistical dependence between pairs of frequency features. We will illustrate the applicability of the method to the initialization of a three-dimensional geodesic active model.
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