Ultrasonic liver discrimination using 2-D phase congruency

被引：11

作者：

Cao, Guitao

Shi, Pengfei ^{[1
]}

Hu, Bing

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China

[2] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Dept Ultrasound Med, Shanghai 200025, Peoples R China

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2006年 / 53卷 / 10期

关键词：

biomedical ultrasonics; image classification; liver; medical image processing; phase measurement; CLASSIFICATION; DISEASES;

D O I：

10.1109/TBME.2006.880907

中图分类号：

R318 [生物医学工程];

学科分类号：

100103 [病原生物学];

摘要：

In this paper, we present an experiment to extract liver features using two-dimensional phase congruency, which is invariant to changes in intensity or contrast, to try to avoid the influence of machine settings. The effectiveness of our method was tested on three classes of liver images and shows the potential for physicians to quantify liver pathology in clinical diagnosis.

引用

页码：2116 / 2119

页数：4

共 12 条

[1]

A tutorial on Support Vector Machines for pattern recognition [J].