Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224358
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dc.coverage.spatialEarly detection of breast cancer Using image processing algorithms And estimation of overall risk
dc.date.accessioned2018-12-24T06:28:08Z-
dc.date.available2018-12-24T06:28:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/224358-
dc.description.abstractBreast cancer is the most frequently diagnosed cancer in women It is newlinethe second leading cause of cancer death in women after lung cancer Early newlinedetection of breast cancer is believed to enhance the chance of survival newlineMammography is the best available breast imaging technique at present newlinewhich uses lowdose xrays for detecting the breast cancer early before the newlinesymptoms are experienced.The most commonly present abnormalities in newlinemammograms that may indicate the breast malignancy are masses and micro newlinecalcifications newlineThe prime objective of this research is to increase the diagnostic newlineaccuracy of the detection of breast cancer malignancy in Computer Aided newlineDiagnosis CAD systems by developing image processing algorithms and to newlinecategorize the women into different risk groups newline newline
dc.format.extentxxii, 147p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEarly detection of breast cancer Using image processing algorithms And estimation of overall risk
dc.title.alternative
dc.creator.researcherAkila K
dc.subject.keywordbreast cancer
dc.subject.keywordEngineering and Technology,Engineering,Engineering Electrical and Electronic
dc.subject.keywordMammography
dc.description.notep. 133-146.
dc.contributor.guideJayashree L S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registeredn.d.
dc.date.completed01/06/2017
dc.date.awarded30/06/2017
dc.format.dimensions23cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
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01_title.pdfAttached File9.74 kBAdobe PDFView/Open
02_certificate.pdf84.82 kBAdobe PDFView/Open
03_abstract.pdf66.55 kBAdobe PDFView/Open
04_acknowledgement.pdf77.2 kBAdobe PDFView/Open
05_contents.pdf239.57 kBAdobe PDFView/Open
06_chapter 1.pdf260.41 kBAdobe PDFView/Open
07_chapter 2.pdf107.94 kBAdobe PDFView/Open
08_chapter 3.pdf642.61 kBAdobe PDFView/Open
09_chapter 4.pdf341.98 kBAdobe PDFView/Open
10_chapter 5.pdf318.66 kBAdobe PDFView/Open
11_chapter 6.pdf435.59 kBAdobe PDFView/Open
12_chapter 7.pdf89.17 kBAdobe PDFView/Open
13_appendix.pdf118.33 kBAdobe PDFView/Open
14_references.pdf112.54 kBAdobe PDFView/Open


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