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dc.contributor.advisorDaba, Jihad S.en_US
dc.contributor.authorSaba, Mayaen_US
dc.contributor.authorKlaimy, Ibrahimen_US
dc.descriptionIncludes bibliographical references (p.51-52).en_US
dc.descriptionSupervised by Dr. Jihad Daba.en_US
dc.description.abstractThe purpose of this study to develop and compare between processing issues when dealing with segmentation of ultrasound images. Two main techniques were examined and results were shown for both Level Set segmentation and Snake algorithm. Ultrasound images of liver tumor were taken into account, for each tissue has its own individual characterization. Speckle noise and tumor were to be differentiated. Error computation and graphics have helped in the discussion of distinction between different parameters and approaches to end up with the most accurate means when dealing with imaging.en_US
dc.description.statementofresponsibilityBy Maya Saba, Ibrahim Klaimyen_US
dc.format.extentvii, 52 p. :ill.,tables ;30 cmen_US
dc.rightsThis object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holderen_US
dc.subject.lcshUltrasonic imagingen_US
dc.subject.lcshDiagnosis, Ultrasonicen_US
dc.titleUltrasound image segmentation for liver tumoren_US
dc.contributor.departmentDepartment of Electrical Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.description.degreeMS in Electrical Engineeringen_US
Appears in Collections:UOB Theses and Projects
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