UNSUPERVISED LEARNING FOR CHARACTERIZATION OF TISSUE FROM ACOUSTICAL SPECKLE IN ULTRASOUND IMAGES.

Reza Momenan, Robert F. Wagner, Murray H. Loew, Michael Insana, Brian S. Garra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors review and evaluate the application of a procedure for classifying tissue types from unlabeled acoustic measurements (data type unknown) using unsupervised analysis. They discuss their investigation of the application of unsupervised learning techniques to the problem of detecting tumors within an organ and discriminating between tissue types of two neighboring organs such as liver and kidney.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages935-940
Number of pages6
StatePublished - 1987
Externally publishedYes

ASJC Scopus subject areas

  • General Engineering

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