Share Email Print

Proceedings Paper

Supervised Pattern Recognition Techniques In Quantitative Diagnostic Ultrasound
Author(s): Michael F. Insana; Robert F. Wagner; Brian S. Garra; Reza Momenan; Thomas H. Shawker
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The methods of statistical pattern recognition are well suited to the problems of in vivo ultrasonic tissue characterization. This paper describes supervised pattern recognition methods for selecting features for tissue classification, calculating decision boundaries within the selected feature space, and evaluating the performance. We address the considerations of dimensionality and feature size which are important in classification problems where the underlying probability distributions are not completely known. Examples are given for the detection of diffuse liver disease in the clinical environment.

Paper Details

Date Published: 10 September 1987
PDF: 9 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940260
Show Author Affiliations
Michael F. Insana, FDA (United States)
Robert F. Wagner, FDA (United States)
Brian S. Garra, National Institutes of Health (United States)
Reza Momenan, George Washington University (United States)
Thomas H. Shawker, National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

© SPIE. Terms of Use
Back to Top