Development of automatic brain tumor segmentation methods for magnetic resonance imaging of human head scans

dc.contributor.guideKalaiselvi, T
dc.coverage.spatial
dc.creator.researcherNagaraja, P
dc.date.accessioned2019-08-01T04:47:54Z
dc.date.available2019-08-01T04:47:54Z
dc.date.awarded
dc.date.completed2017
dc.date.registered
dc.description.abstractnewline
dc.description.noteBibliography Included
dc.format.accompanyingmaterialNone
dc.format.dimensions35 cm.
dc.format.extentxxviii, 158p.
dc.identifier.urihttp://hdl.handle.net/10603/251539
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Applications
dc.publisher.placeDindigul
dc.publisher.universityThe Gandhigram Rural Institute
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordClustering
dc.subject.keywordFuzzy C-Means
dc.subject.keywordSegmentation
dc.subject.keywordTumor
dc.subject.keywordWavelet
dc.titleDevelopment of automatic brain tumor segmentation methods for magnetic resonance imaging of human head scans
dc.title.alternative
dc.type.degreePh.D.

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