Share Email Print
cover

Proceedings Paper

SVM-based ultrasonic medicine image diagnosis
Author(s): Jun Zhang; Xiaomao Liu; Jianguo Liu; Fuyuan Peng; Jinwen Tian; Ying Wang; Wenjun Zhang; Mingxing Xie
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The technique of support vector machines (SVM's) has been used as a new method for solving classification, regression, time series prediction and function estimation problems with many successful applications. In this paper, we use SVM to solve the problem of classification for ultrasonic medicine image. We use statistical characteristics of the interesting part in an ultrasonic image to aid a doctor to give a correct diagnosis. The procedure is: first, to extract a number of small sampling regions in the interesting part; second, to calculate a series of moments about those sampling regions; third, to decide whether the interesting part of the organ is normal or abnormal according to the analyses of the series of moments based on SVM. SVM's structural risk minimization principle is the guarantee that the diagnosis has the minimum mistake probability. The diagnosis based on SVM is optimal from the viewpoint of structural risk minimization principle. It is hoped that the results presented here will be helpful to the diagnosis based on ultrasonic medicine image.

Paper Details

Date Published: 18 September 2001
PDF: 4 pages
Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); doi: 10.1117/12.440251
Show Author Affiliations
Jun Zhang, Huazhong Univ. of Science and Technology (United States)
Xiaomao Liu, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Fuyuan Peng, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Ying Wang, Huazhong Univ. of Science and Technology (China)
Wenjun Zhang, Huazhong Univ. of Science and Technology (China)
Mingxing Xie, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4549:
Medical Image Acquisition and Processing

© SPIE. Terms of Use
Back to Top