Yazar "Cüce, Ferhat" için listeleme
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Assessment of ManSeg 2.6b application's accuracy [ManSeg 2.6b Uygulama Başarisinin De?erlendirilmesi]
Tulum, Gökalp; Osman, Onur; Dandin, Özgür; Teomete, Uygar; Ergin, Tuncer; Cüce, Ferhat; Köksal, Murathan; Olsun, Adlan (Institute of Electrical and Electronics Engineers Inc., 2018)The present study aims to demonstrate a new fully/semi-automated segmentation tool, ManSeg 2.6b, for calculating the volume of the abdominal organs. In order to validate the accuracy, a phantom study was developed and the ... -
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, ... -
Butterworth Based Kidney Volume Calculation
Tulum, Gökalp; Osman, Onur; Cüce, Ferhat; Lapsekili, Emin; Dandin, Özgür; Ergin, Tuncer; Teomete, Uygar (IEEE, 2017)The width, thickness and the length of the organs are frequently used for volume calculations in radiology. Thus, radiologists can determine the approximate volumes of the regions rapidly. In this work Butterworth based ... -
Calculation of Renal, Cortex and Medulla Volumes using Semi Automated Method
Yılmaz, Vural Taner; Tulum, Gökalp; Ergin, Tuncer; Cüce, Ferhat; Dandin, Özgür; Koçak, Hüseyin; Kısaoğlu, Abdullah; Demiryılmaz, İsmail; Dinç, Bora; Yaprak, Muhittin; Aydınlı, Bülent; Osman, Onur (IEEE, 2018)It is assume that renal volume with cortex and medulla volumes are related with recovery of the kidney after transplantation. In this study it is aim that a semi automated method is developed for renal volumes. Theise ... -
Colonic polyp classification using projection image and convolutional neural network
Tulum, Gökalp; Osman, Onur; Dandin, Özgür; Bolat, Bülent; Ergin, Tuncer; Cüce, Ferhat (Institute of Electrical and Electronics Engineers Inc., 2019)Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection ... -
Computed aided detection of traumatized kidneys in CT images
Tulum, Gökalp; Teomete, Uygar; Ergin, Tuncer; Dandin, Özgür; Cüce, Ferhat; Osman, Onur (Institute of Electrical and Electronics Engineers Inc., 2017)In this work, we developed a novel method to diagnose traumatized kidney in the presence of laceration, contusion and active bleeding due to abdominal trauma. Our CAD system performs 94,44% of sensitivity at 0.13 false ... -
Detection of Injured Kidney in Computed Tomography
Tulum, Gökalp; Dandin, Özgür; Ergin, Tuncer; Teomete, Uygar; Cüce, Ferhat; Osman, Onur (IEEE, 2017)Timely and accurate diagnosis of intraabdominal organ injuries due to trauma is critical. Computer Assisted Detection (CAD) systems are rapidly developing techniques to segment the organs or to detect the pathologies in ... -
Fully Automated Segmentation of Renal, Cortex and Medulla
Tulum, Gökalp; Artuğ, N. Tuğrul; Osman, Onur; Dandin, Özgür; Yılmaz, Vural Taner; Kısaoğlu, Abdullah; Demiryılmaz, İsmail; Yaprak, Muhittin; Aydınlı, Bülent; Ergin, Tuncer; Cüce, Ferhat (IEEE, 2018)It is assume that volumes of cortex and medulla are related with recovery of the kidney after transplantation. In this work, a fully automated segmentation and volume calculation method is proposed for determining renal ... -
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 ...