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 | |
| 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 |
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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
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
}
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.
ER -