Mammogram object detection using dendronic image analysis

Mitchell, RA; Nguyen, HT; Thornton, BS; Hung, WT; Lee, W; Rickard, M

Mammogram object detection using dendronic image analysis

Mitchell, RA Nguyen, HT

Thornton, BS Hung, WT

Lee, W Rickard, M

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Publication Type:: Conference Proceeding
Citation:: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2004, 26 III pp. 1763 - 1765
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Mitchell, RA	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Thornton, BS	en_US
dc.contributor.author	Hung, WT https://orcid.org/0000-0002-0058-1680	en_US
dc.contributor.author	Lee, W	en_US
dc.contributor.author	Rickard, M	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2004, 26 III pp. 1763 - 1765	en_US
dc.identifier.issn	0589-1019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2812
dc.description.abstract	Breast cancer can be treated with better patient outcomes and significantly lower costs if detected early. Using the spatial dendronic structure, image masks can be obtained, showing regions in the mammogram image corresponding to the breast and lead marker. The technique is robust to noise and placement of the breast within the image. The technique not only reduces the size of the region to be analysed, but also provides the dendronic structure of the breast in which stealth-like masses can be found more easily.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LE0454081
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en_US
dc.title	Mammogram object detection using dendronic image analysis	en_US
dc.type	Conference Proceeding
utslib.citation.volume	26 III	en_US
utslib.for	090305 Rehabilitation Engineering	en_US
utslib.for	090303 Biomedical Instrumentation	en_US
dc.location.activity	San Francisco, USA	en_US
dc.location.activity	Porto, Portugal
dc.location.activity	San Francisco, CA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	26 III	en_US

Abstract:

Breast cancer can be treated with better patient outcomes and significantly lower costs if detected early. Using the spatial dendronic structure, image masks can be obtained, showing regions in the mammogram image corresponding to the breast and lead marker. The technique is robust to noise and placement of the breast within the image. The technique not only reduces the size of the region to be analysed, but also provides the dendronic structure of the breast in which stealth-like masses can be found more easily.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2812