Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224338
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dc.coverage.spatialbreast lesions in ultrasound images
dc.date.accessioned2018-12-24T06:21:47Z-
dc.date.available2018-12-24T06:21:47Z-
dc.identifier.urihttp://hdl.handle.net/10603/224338-
dc.description.abstractEarly identification of breast cancer is important for reducing the newlinemortality rate a common screening and detection technique for breast cancer newlineis mammography Though Mammography is now considered as the newlinebenchmark technique for the early screening and diagnosis of breast cancer it newlineutilizes harmful ionizing radiations namely X Rays Moreover the procedure newlineis quite uncomfortable, painful and embarrassing for women making it less newlineattractive as a preventive screening tool These disadvantages of newlinemammography can be overcome by using ultrasound imaging technique newlineUltrasound is normally considered safe and can be used in soft tissue such as newlineBreast However the quality of the image is compromised due to the newlinepredominance of speckle noise newline newline
dc.format.extent133 Pages
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAutomatic detection and classification of breast lesions in ultrasound images
dc.title.alternative
dc.creator.researcherTelagarapu Prabhakar
dc.subject.keywordBiotechnology
dc.subject.keywordBreast Cancer
dc.subject.keywordEngineering and Technology,Engineering,Engineering Biomedical
dc.subject.keywordUltrasound Images
dc.description.note
dc.contributor.guidePoonguzhali S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered1-1-2014
dc.date.completed2017
dc.date.awarded22-6-2017
dc.format.dimensions148x210
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdf.pdfAttached File21.95 kBAdobe PDFView/Open
02_certificates.pdf.pdf699.03 kBAdobe PDFView/Open
03_abstracts.pdf.pdf4.96 kBAdobe PDFView/Open
04_acknowledgement.pdf.pdf4.02 kBAdobe PDFView/Open
05_contents.pdf.pdf8.54 kBAdobe PDFView/Open
06_list_of_tables.pdf.pdf3.43 kBAdobe PDFView/Open
07_list_of_figures.pdf.pdf6.15 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf13.17 kBAdobe PDFView/Open
09_chapter1.pdf.pdf117.48 kBAdobe PDFView/Open
10_chapter2.pdf.pdf53.54 kBAdobe PDFView/Open
11_chapter3.pdf.pdf148.18 kBAdobe PDFView/Open
12_chapter4.pdf.pdf691.77 kBAdobe PDFView/Open
13_chapter5.pdf.pdf73.43 kBAdobe PDFView/Open
14_chapter6.pdf.pdf238.74 kBAdobe PDFView/Open
15_conclusion.pdf.pdf10.11 kBAdobe PDFView/Open
16_references.pdf.pdf46.86 kBAdobe PDFView/Open
17_list_of_publications.pdf9.33 kBAdobe PDFView/Open


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