Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/113448
Title: Automatic segmentation techniques for Sonoelastographic breast images
Researcher: Sindhuja, A
Guide(s): Sadasivam, V
Keywords: Image
Microsound
Reducing
University: Manonmaniam Sundaranar University
Completed Date: February 2015
Abstract: newlineBreast cancer is the most frequently diagnosed cancer among women, and accounts for about newline360, 000 deaths annually worldwide. Early detection and diagnosis of breast cancer is the key newlinein reducing breast cancer related mortality in women
Pagination: xiii, 131p.
URI: http://hdl.handle.net/10603/113448
Appears in Departments:Department of Computer Science & Engg.

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02_certificate.pdf18.21 kBAdobe PDFView/Open
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04_acknowledgement.pdf15.66 kBAdobe PDFView/Open
05_content.pdf32.2 kBAdobe PDFView/Open
06_abbreviation.pdf21.3 kBAdobe PDFView/Open
08_list of table.pdf27.16 kBAdobe PDFView/Open
09_chapter1.pdf621.96 kBAdobe PDFView/Open
10_chapter2.pdf102.68 kBAdobe PDFView/Open
11_chapter3.pdf315.21 kBAdobe PDFView/Open
12_chapter4.pdf678.79 kBAdobe PDFView/Open
13_chapter5.pdf26.78 kBAdobe PDFView/Open
14_reference.pdf98.3 kBAdobe PDFView/Open
7_abstract.pdf24.05 kBAdobe PDFView/Open
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