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

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.

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
Externally published	Yes
Event	2016 Medical Technologies National Conference, TIPTEKNO 2016 - Antalya, Turkey Duration: Oct 27 2016 → Oct 29 2016

Other

Other
Country	Turkey
City	Antalya
Period	10/27/16 → 10/29/16

Fingerprint

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

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.

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, 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

@inproceedings{b7266067ea474892a1b2360c9d2d0380,

title = "Karaciǧer g{\"o}r{\"u}nt{\"u}lerinin geometrik d{\"o}n{\"u}{\c s}{\"u}m y{\"o}ntemleri kullanilarak benzerliklerinin deǧerlendirilmesi",

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.",

keywords = "Dice coefficient, geometric transformation, injured liver, segmentation",

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

year = "2017",

month = feb

day = "23",

doi = "10.1109/TIPTEKNO.2016.7863136",

language = "Turkish",

booktitle = "2016 Medical Technologies National Conference, TIPTEKNO 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2016 Medical Technologies National Conference, TIPTEKNO 2016 ; Conference date: 27-10-2016 Through 29-10-2016",

}

TY - GEN

T1 - Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi

AU - Palabas, Tugba

AU - Osman, Onur

AU - Ergin, Tuncer

AU - Teomete, Uygar

AU - Dandin, Ozgur

AU - Aydin, Nizamettin

PY - 2017/2/23

Y1 - 2017/2/23

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.

KW - Dice coefficient

KW - geometric transformation

KW - injured liver

KW - segmentation

UR - http://www.scopus.com/inward/record.url?scp=85016095183&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016095183&partnerID=8YFLogxK

U2 - 10.1109/TIPTEKNO.2016.7863136

DO - 10.1109/TIPTEKNO.2016.7863136

M3 - Conference contribution

AN - SCOPUS:85016095183

BT - 2016 Medical Technologies National Conference, TIPTEKNO 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 Medical Technologies National Conference, TIPTEKNO 2016

Y2 - 27 October 2016 through 29 October 2016

ER -

Access to Document

10.1109/TIPTEKNO.2016.7863136