10 September 1987 Supervised Pattern Recognition Techniques In Quantitative Diagnostic Ultrasound
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Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940260
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael F. Insana, Michael F. Insana, Robert F. Wagner, Robert F. Wagner, Brian S. Garra, Brian S. Garra, Reza Momenan, Reza Momenan, Thomas H. Shawker, Thomas H. Shawker, } "Supervised Pattern Recognition Techniques In Quantitative Diagnostic Ultrasound", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940260; https://doi.org/10.1117/12.940260
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