Improving Semi Automatic Pet Segmentation Algorithms For Tumour Delineation And Evaluating Its Role In Dose Painting In Radiotherapy

dc.contributor.guide	James Jebaseelan Samuel
dc.coverage.spatial
dc.creator.researcher	Hannah Mary Thomas .T
dc.date.accessioned	2018-11-26T10:26:56Z
dc.date.available	2018-11-26T10:26:56Z
dc.date.awarded	17/08/2016
dc.date.completed	2016
dc.date.registered	01/07/2011
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	I-XIII,I-127
dc.identifier.uri	http://hdl.handle.net/10603/221674
dc.language	English
dc.publisher.institution	School of Advanced Sciences
dc.publisher.place	Vellore
dc.publisher.university	VIT University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Radiotherapy
dc.subject.keyword	Semi Automatic Pet Segmentation Algorithms
dc.subject.keyword	Tumour Delineation
dc.title	Improving Semi Automatic Pet Segmentation Algorithms For Tumour Delineation And Evaluating Its Role In Dose Painting In Radiotherapy
dc.title.alternative
dc.type.degree	Ph.D.