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Assessment of Similarity Rates of Liver Images Using Geometric Transformations

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dc.contributor.authorPalabas, Tugba
dc.contributor.authorOsman, Onur
dc.contributor.authorErgin, Tuncer
dc.contributor.authorTeomete, Uygar
dc.contributor.authorDandin, Ozgur
dc.contributor.authorAydin, Nizamettin
dc.date.accessioned2026-06-27T13:38:37Z
dc.date.issued2015
dc.description.abstractIn this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are consecutively applied to 10 intact liver images which are drawn by the radiologists. Atlases of liver images are generated, Dice coefficients are calculated according to the specified atlases and are assessed for various cases. This study is presented as a step to prepare atlas database for segmentation of the injured liver.en
dc.identifier.isbn978-1-5090-2386-8
dc.identifier.urihttps://hdl.handle.net/20.500.14981/54093
dc.identifier.wos000455003600075
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceMedical Technologies National Conference (TIPTEKNO)
dc.relation.ispartof2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO)
dc.subjectgeometric transformation
dc.subjectinjured liver
dc.subjectsegmentation
dc.subjectDice coefficient
dc.subjectMULTIORGAN SEGMENTATION
dc.subjectCT
dc.subjectENHANCEMENT
dc.subjectSHAPE
dc.subjectComputer Science
dc.titleAssessment of Similarity Rates of Liver Images Using Geometric Transformations
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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