Contour extraction for breast tumor in ultrasound image

Wei Ren Chen, Po Hsiang Tsui, Yung Sheng Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Shape features are usually considered for discriminating benign and malignant breast tumors in ultrasound image. A contour extraction method is presented for the purpose of discrimination. A half contouring is devised for reducing the influence of shadow effect resulting from the ultrasonic energy decay. Based on the cue of contour variation, degree standard variation and texture information are developed as useful features for the discrimination. Above 70% accuracy could be obtained by using the adopted half contour information. Experiments confirm the feasibility of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Machine Learning and Cybernetics, ICMLC 2014
PublisherIEEE Computer Society
Pages533-537
Number of pages5
ISBN (Electronic)9781479942169
DOIs
StatePublished - 13 01 2014
Event13th International Conference on Machine Learning and Cybernetics, ICMLC 2014 - Lanzhou, China
Duration: 13 07 201416 07 2014

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference13th International Conference on Machine Learning and Cybernetics, ICMLC 2014
Country/TerritoryChina
CityLanzhou
Period13/07/1416/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Adaptive thresholding
  • Breast tumor
  • Contour extraction
  • Disk expansion
  • Ultrasound image

Fingerprint

Dive into the research topics of 'Contour extraction for breast tumor in ultrasound image'. Together they form a unique fingerprint.

Cite this