Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi

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

doi:10.1109/TIPTEKNO.2016.7863136

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

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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.

Translated title of the contribution	Assessment of similarity rates of liver images using geometric transformations
Original language	Turkish
Title of host publication	2016 Medical Technologies National Conference, TIPTEKNO 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023868
DOIs	https://doi.org/10.1109/TIPTEKNO.2016.7863136
State	Published - Feb 23 2017
Event	2016 Medical Technologies National Conference, TIPTEKNO 2016 - Antalya, Turkey Duration: Oct 27 2016 → Oct 29 2016

Publication series

Name	2016 Medical Technologies National Conference, TIPTEKNO 2016

Conference

Conference	2016 Medical Technologies National Conference, TIPTEKNO 2016
Country/Territory	Turkey
City	Antalya
Period	10/27/16 → 10/29/16

Keywords

Dice coefficient
geometric transformation
injured liver
segmentation

ASJC Scopus subject areas

Instrumentation
Medicine (miscellaneous)
Health Informatics
Biomedical Engineering

Access to Document

10.1109/TIPTEKNO.2016.7863136

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] (2016 Medical Technologies National Conference, TIPTEKNO 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2016.7863136

Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi. / Palabas, Tugba; Osman, Onur; Ergin, Tuncer; Teomete, Uygar; Dandin, Ozgur; Aydin, Nizamettin.

2016 Medical Technologies National Conference, TIPTEKNO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7863136 (2016 Medical Technologies National Conference, TIPTEKNO 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2016 Medical Technologies National Conference, TIPTEKNO 2016, Institute of Electrical and Electronics Engineers Inc., 2016 Medical Technologies National Conference, TIPTEKNO 2016, Antalya, Turkey, 10/27/16. https://doi.org/10.1109/TIPTEKNO.2016.7863136

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

Palabas, Tugba ; Osman, Onur ; Ergin, Tuncer ; Teomete, Uygar ; Dandin, Ozgur ; Aydin, Nizamettin. / Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi. 2016 Medical Technologies National Conference, TIPTEKNO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 Medical Technologies National Conference, TIPTEKNO 2016).

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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.",

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author = "Tugba Palabas and Onur Osman and Tuncer Ergin and Uygar Teomete and Ozgur Dandin and Nizamettin Aydin",

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N2 - 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.

AB - 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.

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Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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