Ultrasonic liver discrimination using 2-D phase congruency

Guitao Cao; Pengfei Shi; Bing Hu

doi:10.1109/TBME.2006.880907

Ultrasonic liver discrimination using 2-D phase congruency

Guitao Cao
, Pengfei Shi^*
, Bing Hu

^*此作品的通讯作者

Shanghai Jiao Tong University

科研成果: 期刊稿件 › 文章 › 同行评审

15 引用（Scopus）

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.

源语言	英语
页（从-至）	2116-2119
页数	4
期刊	IEEE Transactions on Biomedical Engineering
卷	53
期	10
DOI	https://doi.org/10.1109/TBME.2006.880907
出版状态	已出版 - 10月 2006
已对外发布	是

访问文件

10.1109/TBME.2006.880907

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{3a893530cc0e499b99010396a6b0ffd0,

title = "Ultrasonic liver discrimination using 2-D phase congruency",

abstract = "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.",

keywords = "Biomedical ultrasonics, Image classification, Liver, Medical image processing, Phase measurement",

author = "Guitao Cao and Pengfei Shi and Bing Hu",

year = "2006",

month = oct,

doi = "10.1109/TBME.2006.880907",

language = "英语",

volume = "53",

pages = "2116--2119",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "IEEE Computer Society",

number = "10",

}

TY - JOUR

T1 - Ultrasonic liver discrimination using 2-D phase congruency

AU - Cao, Guitao

AU - Shi, Pengfei

AU - Hu, Bing

PY - 2006/10

Y1 - 2006/10

N2 - 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.

AB - 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.

KW - Biomedical ultrasonics

KW - Image classification

KW - Liver

KW - Medical image processing

KW - Phase measurement

UR - https://www.scopus.com/pages/publications/33749523026

U2 - 10.1109/TBME.2006.880907

DO - 10.1109/TBME.2006.880907

M3 - 文章

C2 - 17019877

AN - SCOPUS:33749523026

SN - 0018-9294

VL - 53

SP - 2116

EP - 2119

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 10

ER -

Ultrasonic liver discrimination using 2-D phase congruency

摘要

访问文件

其它文件与链接

指纹

引用此