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 language | English |
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Title of host publication | 10th IEEE International Conference on Computer and Information Technology, Proceedings |
Publisher | IEEE |
Pages | 1599-1604 |
Number of pages | 6 |
ISBN (Electronic) | 9781424475483 |
ISBN (Print) | 9781424475476 |
DOIs | |
Publication status | Published - 16 Sep 2010 |
Event | 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 - University of Bradford, Bradford, United Kingdom Duration: 29 Jun 2010 → 1 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
Conference | 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 |
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Abbreviated title | CIT 2010 |
Country/Territory | United Kingdom |
City | Bradford |
Period | 29/06/10 → 1/07/10 |
Internet address |
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