Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi

Translated title of the contribution: Assessment of similarity rates of liver images using geometric transformations

Tugba Palabas, Onur Osman, Tuncer Ergin, Uygar Teomete, Ozgur Dandin, Nizamettin Aydin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In 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.

Original languageTurkish
Title of host publication2016 Medical Technologies National Conference, TIPTEKNO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023868
DOIs
StatePublished - Feb 23 2017
Externally publishedYes
Event2016 Medical Technologies National Conference, TIPTEKNO 2016 - Antalya, Turkey
Duration: Oct 27 2016Oct 29 2016

Other

Other
CountryTurkey
CityAntalya
Period10/27/1610/29/16

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Keywords

  • Dice coefficient
  • geometric transformation
  • injured liver
  • segmentation

ASJC Scopus subject areas

  • Instrumentation
  • Medicine (miscellaneous)
  • Health Informatics
  • Biomedical Engineering

Cite this

Palabas, T., Osman, O., Ergin, T., Teomete, U., Dandin, O., & Aydin, N. (2017). Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi. In 2016 Medical Technologies National Conference, TIPTEKNO 2016 [7863136] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2016.7863136