Automatic Segmentation for Breast Skin-line

Zhiyong Zhang, Joan Lu, Yau Jim Yip

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

The accurate segmentation of breast in mammograms is critical for computer-aided diagnosis (CAD) of breast cancer. The challenges of breast segmentation come from tissue superimposition, low contrast and low visible breast boundary, noise areas and artifacts. In this research, a novel Automatic Breast Segmentation (ABS) approach was proposed. The experiment results showed that the proposed ABS approach can segment breast boundary reliably and accurately.

Original languageEnglish
Title of host publication10th IEEE International Conference on Computer and Information Technology, Proceedings
PublisherIEEE
Pages1599-1604
Number of pages6
ISBN (Electronic)9781424475483
ISBN (Print)9781424475476
DOIs
Publication statusPublished - 16 Sep 2010
Event10th IEEE International Conference on Computer Information and Technology
- University of Bradford, Bradford, United Kingdom
Duration: 29 Jun 20101 Jul 2010
Conference number: 10
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=7133 (Link to Conference Information )
https://www.scimagojr.com/journalsearch.php?q=19700182307&tip=sid&clean=0

Conference

Conference10th IEEE International Conference on Computer Information and Technology
Abbreviated titleCIT 2010
CountryUnited Kingdom
CityBradford
Period29/06/101/07/10
Internet address

    Fingerprint

Cite this

Zhang, Z., Lu, J., & Yip, Y. J. (2010). Automatic Segmentation for Breast Skin-line. In 10th IEEE International Conference on Computer and Information Technology, Proceedings (pp. 1599-1604). [5577938] IEEE. https://doi.org/10.1109/CIT.2010.283