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

^*Corresponding author for this work

Shanghai Jiao Tong University

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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.

Original language	English
Pages (from-to)	2116-2119
Number of pages	4
Journal	IEEE Transactions on Biomedical Engineering
Volume	53
Issue number	10
DOIs	https://doi.org/10.1109/TBME.2006.880907
State	Published - Oct 2006
Externally published	Yes

Keywords

Biomedical ultrasonics
Image classification
Liver
Medical image processing
Phase measurement

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10.1109/TBME.2006.880907

Cite this

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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",

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AU - Cao, Guitao

AU - Shi, Pengfei

AU - Hu, Bing

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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

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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

Abstract

Keywords

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