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

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

^*Bu çalışma için yazışmadan sorumlu yazar

Istanbul Arel University
Gülhane Military Medical Academy
Radyoloji Bölümü
Bursa Asker Hastanesi
Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Tercüme edilen katkı başlığı	Assessment of similarity rates of liver images using geometric transformations
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 Medical Technologies National Conference, TIPTEKNO 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509023868
DOI'lar	https://doi.org/10.1109/TIPTEKNO.2016.7863136
Yayın durumu	Yayınlandı - 23 Şub 2017
Harici olarak yayınlandı	Evet
Etkinlik	2016 Medical Technologies National Conference, TIPTEKNO 2016 - Antalya, Türkiye Süre: 27 Eki 2016 → 29 Eki 2016

Yayın serisi

Adı	2016 Medical Technologies National Conference, TIPTEKNO 2016

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2016 Medical Technologies National Conference, TIPTEKNO 2016
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	27/10/16 → 29/10/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Keywords

Dice coefficient
geometric transformation
injured liver
segmentation

Belgeye Erişim

10.1109/TIPTEKNO.2016.7863136

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 7863136 (2016 Medical Technologies National Conference, TIPTEKNO 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2016.7863136

@inproceedings{703336317c024b59800d9723e546d385,

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",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Medical Technologies National Conference, TIPTEKNO 2016 ; Conference date: 27-10-2016 Through 29-10-2016",

year = "2017",

month = feb,

day = "23",

doi = "10.1109/TIPTEKNO.2016.7863136",

language = "T{\"u}rk{\c c}e",

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

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

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

address = "United States",

}

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, Türkiye, 27/10/16. https://doi.org/10.1109/TIPTEKNO.2016.7863136

Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi. / Palabas, Tugba; Osman, Onur; Ergin, Tuncer et al.
2016 Medical Technologies National Conference, TIPTEKNO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7863136 (2016 Medical Technologies National Conference, TIPTEKNO 2016).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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 - https://www.scopus.com/pages/publications/85016095183

U2 - 10.1109/TIPTEKNO.2016.7863136

DO - 10.1109/TIPTEKNO.2016.7863136

M3 - Konferans katkısı

AN - SCOPUS:85016095183

T3 - 2016 Medical Technologies National Conference, TIPTEKNO 2016

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 -

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). doi: 10.1109/TIPTEKNO.2016.7863136

Karaciǧer görüntülerinin geometrik dönüşüm yöntemleri kullanilarak benzerliklerinin deǧerlendirilmesi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap