Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224338
Title: Automatic detection and classification of breast lesions in ultrasound images
Researcher: Telagarapu Prabhakar
Guide(s): Poonguzhali S
Keywords: Biotechnology
Breast Cancer
Engineering and Technology,Engineering,Engineering Biomedical
Ultrasound Images
University: Anna University
Completed Date: 2017
Abstract: Early 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
Pagination: 133 Pages
URI: http://hdl.handle.net/10603/224338
Appears in Departments:Department of Electronics and Communication Engineering

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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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