Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/33713
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dc.coverage.spatialCertain investigations on texture Analysis techniques for segmentation And classification of brain CT imagesen_US
dc.date.accessioned2015-02-06T10:40:55Z-
dc.date.available2015-02-06T10:40:55Z-
dc.date.issued2015-02-06-
dc.identifier.urihttp://hdl.handle.net/10603/33713-
dc.description.abstractOver the last thirty years there has been an explosion in our newlineknowledge of the biochemical machinery of the nervous system In the last few newlineyears with the advent of new imaging technologies such as computed newlinetomography imaging CT it has been possible to explore the anatomical and newlinefunctional structure of the human brain The visualization of the different tissues newlineand their analysis has opened up a new dimension to the neuro anatomical and newlinefunctional disorders that might exist within the human brain These advantages newlineof these imaging modalities like CT and MRI Magnetic Resonance Imaging newlinehas to offer will be fully exploited only through intelligent interpretation of the newlinedata This has been the major limitation in realizing the potential of the imaging newlineThus the sophisticated and optimal analysis of the data is the need of the hour in newlinethe field of neuro medicine newlineComputed Tomography imaging is though expensive because of newlinecapital costs is easy to perform because of its noninvasive nature It is clearly newlinevery important to extract the maximum possible information from any image newlineobtained However image processing modes based on scan sections or newlineradiographic views may not completely provide diagnostic information at an newlineearly stage when it would be easier to control a disease make a therapeutic newlinedecision or perform surger newline newlineen_US
dc.format.extentxxiii, 175p.en_US
dc.languageEnglishen_US
dc.relationp164-172.en_US
dc.rightsuniversityen_US
dc.titleCertain investigations on texture Analysis techniques for segmentation And classification of brain CT imagesen_US
dc.title.alternativeen_US
dc.creator.researcherPadma Aen_US
dc.subject.keywordComputed Tomographyen_US
dc.subject.keywordMagnetic Resonance Imagingen_US
dc.description.notereference p164-172.en_US
dc.contributor.guideSukanesh Ren_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.completed01/03/2014en_US
dc.date.awarded30/03/2014en_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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02_certificate.pdf543.62 kBAdobe PDFView/Open
03_abstract.pdf14.88 kBAdobe PDFView/Open
04_acknowledgement.pdf11.4 kBAdobe PDFView/Open
05_content.pdf51.46 kBAdobe PDFView/Open
06_chapter1.pdf252.43 kBAdobe PDFView/Open
07_chapter2.pdf93.57 kBAdobe PDFView/Open
08_chapter3.pdf263.59 kBAdobe PDFView/Open
09_chapter4.pdf550.93 kBAdobe PDFView/Open
10_chapter5.pdf439.62 kBAdobe PDFView/Open
11_chapter6.pdf183.95 kBAdobe PDFView/Open
12_reference.pdf409.99 kBAdobe PDFView/Open
13_publication.pdf69.54 kBAdobe PDFView/Open
14_vitae.pdf7.41 kBAdobe PDFView/Open


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