Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24738
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dc.coverage.spatialInformation and Communication Engineeringen_US
dc.date.accessioned2014-09-08T04:36:36Z-
dc.date.available2014-09-08T04:36:36Z-
dc.date.issued2014-09-08-
dc.identifier.urihttp://hdl.handle.net/10603/24738-
dc.description.abstractBrain tumor is one of the major causes for the increase in mortality newlineamong children and adults The early detection is the most effective way to newlinereduce the mortality The evolution of Computer Aided Diagnosis CAD newlinesystem has made a giant leap in the effective treatment and is meant to be an newlineinstrument in the hands of the radiologists In this work Magnetic Resonance newlineImaging MRI of brain images have been investigated newlineIn medical image processing if any segmentation scheme fails to newlinedetect the Region of Interest ROI precisely it leads to misclassification newlinewhich will have grave effects on the human beings Another important newlinechallenge in image processing is the presence of noise during the image newlinecapturing process which may result either under segmentation or over newlinesegmentation This research work focuses on these two challenges and has newlineimplemented effective segmentation methodology employing metaheuristic newlinealgorithms newline newlineen_US
dc.format.extentxxiv, 161p.en_US
dc.languageEnglishen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.titleCertain investigations on Segmentation of medical images Using metaheuristic algorithmsen_US
dc.title.alternative-en_US
dc.creator.researcherJaya, Jen_US
dc.subject.keywordComputer Aided Diagnosisen_US
dc.subject.keywordInformation And communication engineeringen_US
dc.subject.keywordMagnetic Resonance Imagingen_US
dc.subject.keywordRegion of Interesten_US
dc.subject.keywordSegmentation of medicalen_US
dc.description.notereference p147-159en_US
dc.contributor.guideThanushkodi, Ken_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01-06-2011en_US
dc.date.awarded30-06-2011en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File98.16 kBAdobe PDFView/Open
02_certificate.pdf734.2 kBAdobe PDFView/Open
03_abstract.pdf101.76 kBAdobe PDFView/Open
04_acknowledgement.pdf271.67 kBAdobe PDFView/Open
05_content.pdf148.78 kBAdobe PDFView/Open
06_chapter1.pdf173.11 kBAdobe PDFView/Open
07_chapter2.pdf2.66 MBAdobe PDFView/Open
08_chapter3.pdf1.53 MBAdobe PDFView/Open
09_chapter4.pdf409.19 kBAdobe PDFView/Open
10_chapter5.pdf508.97 kBAdobe PDFView/Open
11_chapter6.pdf111.55 kBAdobe PDFView/Open
12_reference.pdf142.73 kBAdobe PDFView/Open
13_publication.pdf104.07 kBAdobe PDFView/Open
14_vitae.pdf93.82 kBAdobe PDFView/Open


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