A unified framework based on orthogonal polynomials and representative association rules for secure intelligent medical image diagnosis

dc.contributor.guide	Chilambuchelvan, A
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	R, Bhavani S
dc.date.accessioned	2019-03-15T03:52:20Z
dc.date.available	2019-03-15T03:52:20Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xxvii, 286p.
dc.identifier.uri	http://hdl.handle.net/10603/231959
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	267-285
dc.rights	university
dc.source.university	University
dc.subject.keyword	BreastCancer
dc.subject.keyword	ImageDiagnosis
dc.subject.keyword	Mammography
dc.subject.keyword	MiningAgent
dc.subject.keyword	Polynomials
dc.title	A unified framework based on orthogonal polynomials and representative association rules for secure intelligent medical image diagnosis
dc.title.alternative
dc.type.degree	Ph.D.