期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：Diagnostic ultrasound is a useful and noninvasive method in clinical medicine. Although due to its qualitative, subjective and experience-based nature, ultrasound image interpretation can be influenced by image conditions such as scanning frequency and machine settings. In this paper, we present an automatic liver cirrhosis diagnosis system using ultrasound image matching. Given an input image, a preprocessing module is first performed to filter speckle noise and detect the extremely stable edge pattern which is defined by a similarity function using Hough transform. Furthermore, a template database is co nstructed to facilitate the detection of region of interests and liver cirrhosis classification. Then, support vector machine are employed to test a group of 30 in-vivo liver cirrho sis images from 18 patients, as well as other 30 liver images from 18 normal human volunteers. The results showed that the support vector machine was 92.4% in sensitivity for liver cirrhosis (LC) while neural network provided 89.31 % in LC [19], and the system was considered to be helpful for clinical and educational use
