Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/31074
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dc.coverage.spatialSome investigations on first and second trimester ultrasound fetal images for prediction of down syndrome using soft computing techniquesen_US
dc.date.accessioned2014-12-17T10:00:52Z-
dc.date.available2014-12-17T10:00:52Z-
dc.date.issued2014-12-17-
dc.identifier.urihttp://hdl.handle.net/10603/31074-
dc.description.abstractIn the modern era of science and technology medical image newlineanalysis has been focused by many researchers for improved diagnosis and newlinedecision making Discoveries of various modalities such as Xrays Magnetic newlineResonance Imaging MRI Computed Tomography CT Positron Emission newlineTomographyPET and Single Photon Emission Tomography SPECT has newlinefurther enhanced the research activities for developing computer aided newlinedecision making systems Diagnostic ultra sonography has been found to be newlinethe predominant imaging technique for clinical diagnosis due to its non newlineinvasive nature With the technical advancements and more sophisticated newlineimage acquiring techniques the ultrasonography has been extended to new newlinefields including angiography dermatology obstetrics and gynecology and newlineophthalmology newline newlineen_US
dc.format.extentxix, 127p.en_US
dc.languageEnglishen_US
dc.relationp.109-124en_US
dc.rightsuniversityen_US
dc.titleSome investigations on first and second trimester ultrasound fetal images for prediction of down syndrome using soft computing techniquesen_US
dc.title.alternativeen_US
dc.creator.researcherNirmala Sen_US
dc.subject.keywordinformation and communication engineeringen_US
dc.subject.keywordsoft computing techniquesen_US
dc.subject.keywordultrasounden_US
dc.description.noteReference p.109-124en_US
dc.contributor.guidePalanisamy Ven_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.completed01/05/2010en_US
dc.date.awarded30/05/2010en_US
dc.format.dimensions23cmen_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 File39.08 kBAdobe PDFView/Open
02_certificate.pdf5.54 kBAdobe PDFView/Open
03_abstract.pdf9.64 kBAdobe PDFView/Open
04_acknowledgement.pdf6.66 kBAdobe PDFView/Open
05_contents.pdf34.95 kBAdobe PDFView/Open
06_chapter 1.pdf147.63 kBAdobe PDFView/Open
07_chapter 2.pdf627.04 kBAdobe PDFView/Open
08_chapter 3.pdf909.17 kBAdobe PDFView/Open
09_chapter 4.pdf865.54 kBAdobe PDFView/Open
10_chapter 5.pdf109.31 kBAdobe PDFView/Open
11_chapter 6.pdf17.85 kBAdobe PDFView/Open
12_references.pdf34.84 kBAdobe PDFView/Open
13_publications.pdf7.8 kBAdobe PDFView/Open
14_vitae.pdf6.06 kBAdobe PDFView/Open


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