Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/181331
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dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2017-11-16T06:26:22Z-
dc.date.available2017-11-16T06:26:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/181331-
dc.description.abstractAbstract available
dc.format.extentxx, 139p.
dc.languageEnglish US
dc.relation128-138
dc.rightsuniversity
dc.titleClassification and understanding of multimodality brain images using machine learning techniques
dc.title.alternative
dc.creator.researcherS, Kavitha
dc.subject.keywordBrain
dc.subject.keywordEmission
dc.subject.keywordMachine
dc.subject.keywordMultimodality
dc.subject.keywordTomography
dc.description.noteData not available
dc.contributor.guideThyagharajan, K K
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions31cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File23.01 kBAdobe PDFView/Open
02_certificate.pdf315.53 kBAdobe PDFView/Open
03_abstract.pdf10.95 kBAdobe PDFView/Open
04_acknowledgement.pdf4.62 kBAdobe PDFView/Open
05_table of content.pdf34.24 kBAdobe PDFView/Open
06_list of abbreviation.pdf7.72 kBAdobe PDFView/Open
07_chapter 1.pdf1 MBAdobe PDFView/Open
08_chapter 2.pdf818.27 kBAdobe PDFView/Open
09_chapter 3.pdf722.69 kBAdobe PDFView/Open
10_chapter 4.pdf799.83 kBAdobe PDFView/Open
11_chapter 5.pdf559.44 kBAdobe PDFView/Open
12_chapter 6.pdf1.16 MBAdobe PDFView/Open
13_conclusion and future directions.pdf92.78 kBAdobe PDFView/Open
14_references.pdf285.22 kBAdobe PDFView/Open
15_list of publication.pdf23.09 kBAdobe PDFView/Open


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