Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/74696
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dc.coverage.spatial
dc.date.accessioned2016-03-09T08:33:53Z-
dc.date.available2016-03-09T08:33:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/74696-
dc.description.abstractnewline newline newline newline newline newline newline newline newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleTechniques to analyze suspicious tissue patterns for early detection of breast tumors
dc.title.alternative
dc.creator.researcherMinavathi
dc.subject.keywordArchitectural Distortions (AD)
dc.subject.keywordBilateral Asymmetry
dc.subject.keywordBreast abnormalities
dc.subject.keywordBreast tumors
dc.subject.keywordBreast ultrasound images
dc.subject.keywordMagnetic Resonance Imaging (MRI)
dc.subject.keywordMammographic images
dc.subject.keywordSuspicious tissue
dc.description.note
dc.contributor.guideMurali, S. and Dinesh. M. S.
dc.publisher.placeMysore
dc.publisher.universityUniversity of Mysore
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2013
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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abstract.pdfAttached File117.58 kBAdobe PDFView/Open
acknowledgements.pdf93.59 kBAdobe PDFView/Open
appendix.pdf137.75 kBAdobe PDFView/Open
certificate.pdf102.94 kBAdobe PDFView/Open
chapter 1.pdf233.17 kBAdobe PDFView/Open
chapter 2.pdf131.39 kBAdobe PDFView/Open
chapter 3.pdf318.27 kBAdobe PDFView/Open
chapter 4.pdf793.81 kBAdobe PDFView/Open
chapter 5.pdf685.86 kBAdobe PDFView/Open
chapter 6.pdf295.94 kBAdobe PDFView/Open
chapter 7.pdf75.45 kBAdobe PDFView/Open
contents.pdf17.62 kBAdobe PDFView/Open
declaration.pdf7.89 kBAdobe PDFView/Open
dedication.pdf19.81 kBAdobe PDFView/Open
list of figures .pdf162.79 kBAdobe PDFView/Open
list of publications.pdf88.21 kBAdobe PDFView/Open
references.pdf142.08 kBAdobe PDFView/Open
title.pdf179.5 kBAdobe PDFView/Open


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