Multivariate Hypothesis Testing of Dti Data for Tissue Clustering

Abstract

In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification are among the most challenging tasks in DT image analysis. While clustering separates acquired data into objects, tissue classification provides in-depth information about each… (More)
DOI: 10.1109/ISBI.2007.356967

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