| dc.contributor.author | Palabaş, Tuğba | en_US |
| dc.contributor.author | Osman, Onur | en_US |
| dc.contributor.author | Ergin, Tuncer | en_US |
| dc.contributor.author | Teomete, Uygar | en_US |
| dc.contributor.author | Dandin, Özgür | en_US |
| dc.contributor.author | Aydın, Nizamettin | en_US |
| dc.date.accessioned | 2019-10-29T17:48:47Z | |
| dc.date.available | 2019-10-29T17:48:47Z | |
| dc.date.issued | 2016 | |
| dc.identifier.isbn | 9781509023868 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/TIPTEKNO.2016.7863136 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12294/1963 | |
| dc.description | 2016 Medical Technologies National Conference, TIPTEKNO 2016 -- 27 October 2016 through 29 October 2016 -- | en_US |
| dc.description.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. © 2016 IEEE. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2016 Medical Technologies National Conference, TIPTEKNO 2016 | en_US |
| dc.identifier.doi | 10.1109/TIPTEKNO.2016.7863136 | en_US |
| dc.identifier.doi | 10.1109/TIPTEKNO.2016.7863136 | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Dice Coefficient | en_US |
| dc.subject | Geometric Transformation | en_US |
| dc.subject | Injured Liver | en_US |
| dc.subject | Segmentation | en_US |
| dc.title | Karaciğer görüntülerinin geometrik dönüşüm yöntemleri kullanılarak benzerliklerinin değerlendirilmesi | en_US |
| dc.title.alternative | Assessment of similarity rates of liver images using geometric transformations | en_US |
| dc.type | conferenceObject | en_US |
| dc.department | İstanbul Arel Üniversitesi, Mühendislik-Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.department-temp | Palabas, T., Bilgisayar Mühendisli?i, Istanbul Arel Üniversitesi, Istanbul, Turkey; Osman, O., Elektrik Elektronik Mühendisli?i, Istanbul Arel Üniversitesi, Istanbul, Turkey; Ergin, T., Radyoloji Bölümü, GATA, Ankara, Turkey; Teomete, U., Radyoloji Bölümü, Miami Miller Tip Fakültesi, Miami, FL, United States; Dandin, O., Genel Cerrahi Servisi, Bursa Asker Hastanesi, Bursa, Turkey; Aydin, N., Bilgisayar Mühendisli?i, Yildiz Teknik Üniversitesi, Istanbul, Turkey | en_US |
