Self Organizing Maps for Data Clustering in Acoustic Radiation Force Ultrasound Imaging of Cardiovascular Tissues.

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dc.contributor.advisorMansoor Haider, Chairen_US
dc.contributor.advisorCaterina Gallippi, Memberen_US
dc.contributor.advisorAlun Lloyd, Memberen_US
dc.contributor.advisorRalph Smith, Memberen_US
dc.contributor.advisorCaterina Gallippi, Graduate School Representativeen_US
dc.contributor.authorMangum, Amanda Jeanen_US
dc.date.accepted2014-11-25en_US
dc.date.accessioned2014-11-27T10:30:16Z
dc.date.available2014-11-27T10:30:16Z
dc.date.defense2014-07-25en_US
dc.date.issued2014-07-25en_US
dc.date.released2014-11-27en_US
dc.date.reviewed2014-07-29en_US
dc.date.submitted2014-07-25en_US
dc.degree.disciplineBiomathematicsen_US
dc.degree.leveldissertationen_US
dc.degree.nameDoctor of Philosophyen_US
dc.descriptionNorth Carolina State University Theses Biomathematics.
dc.formatPh.D. North Carolina State University, 2014.
dc.identifier.otherdeg3682en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/9892
dc.rightsen_US
dc.titleSelf Organizing Maps for Data Clustering in Acoustic Radiation Force Ultrasound Imaging of Cardiovascular Tissues.en_US
dcterms.extent1 online resource (xii, 89 pages) : illustrations

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