Exploratory matrix factorization for PET image analysis

Abstract

Features are extracted from PET images employing exploratory matrix factorization techniques such as nonnegative matrix factorization (NMF). Appropriate features are fed into classifiers such as a support vector machine or a random forest tree classifier. An automatic feature extraction and classification is achieved with high classification rate which is… (More)
DOI: 10.1109/IEMBS.2010.5627804

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