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Robust Principal Component Analysis and Clustering Methods for Automated Classification of Tissue Response to ARFI Excitation

We introduce a new method for automatic classification of Acoustic Radiation Force Impulse (ARFI) displacement profiles using what have been termed ‘robust’ methods for principal component analysis (PCA) and clustering. Unlike classical approaches, the robust methods are less sensitive to high varia...

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Main Authors: Mauldin, F. William, Zhu, Hongtu, Behler, Russell H., Nichols, Timothy C., Gallippi, Caterina M.
格式: Artigo
語言:Inglês
出版: 2007
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2288669/
https://ncbi.nlm.nih.gov/pubmed/17913334
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ultrasmedbio.2007.07.019
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