Detection of masses in digitised mammograms using dendronic image analysis

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

Detection of masses in digitised mammograms using dendronic image analysis

Nguyen, HT

Mitchell, RA 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, 2002, 2 pp. 1051 - 1052
Issue Date:: 2002-12-01

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Field	Value	Language
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Mitchell, RA	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	2002-12-01	en_US
dc.identifier.citation	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2002, 2 pp. 1051 - 1052	en_US
dc.identifier.issn	0589-1019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3003
dc.description.abstract	If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. Using the spatial dendronic structure and hierarchical repartment operator, difficult cases of spiculated and stellate tumours can be identified early. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a suspect tumour. In particular, the hierarchical repartment parameter of a mass in a digital mammogram can be obtained using compactness ratios of successive information peeling in this mass. This parameter alone was applied to distinguish all biopsied masses from normal parenchymal tissues in eight separate cases.	en_US
dc.relation	http://purl.org/au-research/grants/arc/C10010018
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en_US
dc.title	Detection of masses in digitised mammograms using dendronic image analysis	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	090602 Control Systems, Robotics and Automation	en_US
utslib.for	090305 Rehabilitation Engineering	en_US
utslib.for	090303 Biomedical Instrumentation	en_US
dc.location.activity	Houston, Texas, USA	en_US
dc.location.activity	HOUSTON, TX
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	2	en_US

Abstract:

If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. Using the spatial dendronic structure and hierarchical repartment operator, difficult cases of spiculated and stellate tumours can be identified early. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a suspect tumour. In particular, the hierarchical repartment parameter of a mass in a digital mammogram can be obtained using compactness ratios of successive information peeling in this mass. This parameter alone was applied to distinguish all biopsied masses from normal parenchymal tissues in eight separate cases.

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http://hdl.handle.net/10453/3003