Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/205088
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dc.coverage.spatial
dc.date.accessioned2018-06-01T10:24:04Z-
dc.date.available2018-06-01T10:24:04Z-
dc.identifier.urihttp://hdl.handle.net/10603/205088-
dc.description.abstractnewline
dc.format.extentI-VIII, 1-106
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEffective Non Invasive Strategies For Analysis And Classification Of Abnormalities From Mammographic Images
dc.title.alternative
dc.creator.researcherKamalakannan. J
dc.subject.keywordBreast Imaging-Reporting
dc.subject.keywordImage Processing
dc.subject.keywordMammograms
dc.subject.keywordMammographic Images
dc.subject.keywordMedical Image
dc.description.note
dc.contributor.guideRajasekhara Babu .M
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered01/07/2009
dc.date.completed2017
dc.date.awarded23/06/2017
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

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01_title.pdfAttached File35.5 kBAdobe PDFView/Open
02_certificate.pdf518.63 kBAdobe PDFView/Open
03_abstract.pdf254.66 kBAdobe PDFView/Open
04_acknowledgement.pdf143.27 kBAdobe PDFView/Open
05_contents.pdf317.77 kBAdobe PDFView/Open
06_list of figures & tables.pdf304.15 kBAdobe PDFView/Open
07_chapter1.pdf1.4 MBAdobe PDFView/Open
08__chapter2.pdf387.05 kBAdobe PDFView/Open
09_chapter3.pdf1.08 MBAdobe PDFView/Open
10_chapter4.pdf791.29 kBAdobe PDFView/Open
11_chapter5.pdf962.19 kBAdobe PDFView/Open
12_chapter6.pdf284.66 kBAdobe PDFView/Open
13_references & publications.pdf305.58 kBAdobe PDFView/Open


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