Title :
Characterization of tissue from ultrasound images
Author :
Momenan, Reza ; Wagner, Robert F. ; Loew, Murray H. ; Insana, Michael F. ; Garra, Brian S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
fDate :
6/1/1988 12:00:00 AM
Abstract :
The application of a procedure for classifying tissue types from unlabeled acoustic measurements using unsupervised analysis is reviewed and evaluated. Unsupervised learning techniques are applied to the problems of detecting tumors within an organ and of discriminating between tissue types of two neighboring organs such as the liver and the kidney.<>
Keywords :
acoustic imaging; biology computing; biomedical ultrasonics; computerised pattern recognition; medical diagnostic computing; characterization; learning techniques; tissue classification; tumor detection; ultrasound images; unlabeled acoustic measurements; unsupervised analysis; Acoustic measurements; Acoustic scattering; Acoustic signal detection; Image analysis; Lesions; Liver diseases; Pattern recognition; Scattering parameters; Signal processing; Ultrasonic imaging;
Journal_Title :
Control Systems Magazine, IEEE
