Automatic segmentation techniques for Sonoelastographic breast images

dc.contributor.guide	Sadasivam, V
dc.coverage.spatial
dc.creator.researcher	Sindhuja, A
dc.date.accessioned	2016-10-17T04:43:18Z
dc.date.available	2016-10-17T04:43:18Z
dc.date.awarded	n.d
dc.date.completed	February 2015
dc.date.registered	n.d
dc.description.abstract	newlineBreast cancer is the most frequently diagnosed cancer among women, and accounts for about newline360, 000 deaths annually worldwide. Early detection and diagnosis of breast cancer is the key newlinein reducing breast cancer related mortality in women
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	xiii, 131p.
dc.identifier.uri	http://hdl.handle.net/10603/113448
dc.language	English
dc.publisher.institution	Department of Computer Science and Engg.
dc.publisher.place	Tirunelveli
dc.publisher.university	Manonmaniam Sundaranar University
dc.relation	142
dc.rights	university
dc.source.university	University
dc.subject.keyword	Image
dc.subject.keyword	Microsound
dc.subject.keyword	Reducing
dc.title	Automatic segmentation techniques for Sonoelastographic breast images
dc.title.alternative
dc.type.degree	Ph.D.