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Automated segmentation of the injured spleen

Dandin, Ozgür; Teomete, Uygar; Osman, Onur; Tulum, Gökalp; Ergin, Tuncer; Sabuncuoğlu, Mehmet Zafer (Springer, 2016)

Purpose: To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not ...

Automated segmentation of the injured kidney due to abdominal trauma

Tulum, Gökalp; Teomete, Uygar; Cüce, Ferhat; Ergin, Tuncer; Köksal, Murathan; Dandin, Özgür; Osman, Onur (Springer, 2020)

The objective of this study is to propose and validate a computer-aided segmentation system which performs the automated segmentation of injured kidney in the presence of contusion, peri-, intra-, sub-capsular hematoma, ...

A New Practical Intracerebral Hematoma Volume Calculation Method and Comparison to simple ABC/2

Cüce, Ferhat; Tulum, Gökalp; Dandin, Özgür; Ergin, Tuncer; Karadaş, Ömer; Osman, Onur (Turkish Neurosurgical Soc., 2020)

AIM: To find a more practical and effective formula than simple ABC/2 (sABC/2) to calculate the hematoma volume in patients with subdural and parenchymal haemorrhage. MATERIAL and METHODS: We reviewed the records of 157 ...

Assessment of similarities between liver images to each other using scaling, rotation and translation geometrical operations

Tapkın Palabaş, Tuğba; Osman, Onur; Ergin, Tuncer; Teomete, Uygar (Istanbul Unıv., 2017)

In this study, similarity rates of the liver images which are obtained from different peoples are determined using 3D geometric transformation methods. The similarity is evaluated based on the numerical comparisons and ...