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 language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Number of pages||6|
|State||Published - 1987|
ASJC Scopus subject areas