Yazar "Tulum, Gökalp" için listeleme
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Application of Telemedicine for Detection of Traumatic Spleen Injury
Özkan, Haydar; Ergin, Tuncer; Osman, Onur; Dandin, Özgür; Teomete, Uygar; Tulum, Gökalp (IEEE, 2015)Using communication technologies, faster and better diagnosis and treatment methods of medical care are improved. Faster communications between doctors and patients are provided due to the improving technologies named ... -
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 computer-aided diagnosis of splenic lesions due to abdominal trauma
Teomete, U.; Tulum, Gökalp; Ergin, T.; Cüce, F.; Köksal, M.; Dandin, O.; Osman, Onur (Lithographia, 2019)Background: Computer-aided detection in the setting of trauma presents unique challenges due to variations in shape and attenuation of the injured organs based on the timing and severity of the injury. We developed and ... -
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, ... -
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 ... -
Automatic Detection of Pulmonary Embolism in CTA Images Using Machine Learning
Özkan, Haydar; Tulum, Gökalp; Osman, Onur; Şahin, Sinan (Kaunas Univ. Technology, 2017)In this study, a novel computer-aided detection (CAD) method is introduced to detect pulmonary embolism (PE) in computed tomography angiography (CTA) images. This method consists of lung vessel segmentation, PE candidate ... -
Bilgisayarlı tomografi görüntülerinde ince bağırsağın otomatik olarak bölütlenmesi
Tulum, Gökalp; Artuğ, N. Tuğrul; Osman, Onur; Ergin, Tuncer; Teomete, Uygar; Dandin, Özgür (IEEE, 2016)Bilgisayar destekli tanı sistemleri (CAD) son yıllarda sayısal görüntü işleme yöntemlerini kullanarak radyolojik görüntülerin işlenmesini sağlayan ve tanı süresini kısaltmayı amaçlayan akıllı sistemlerin tümüdür. CAD ... -
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 ... -
A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans
Tulum, Gökalp; Bolat, Bülent; Osman, Onur (Springer, 2017)Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In ... -
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 ... -
Çevrimiçi çalışabilen çoklu ortama uygun hasta izleme sistemi
Demirtaş, Murat; Tulum, Gökalp; Sağbaş, Mehmet; Ayten, Umut Engin (Sakarya Üniversitesi Fen Bilimleri Enstitüsü, 2018)Bu çalışmada, biyomedikal sensörlerden (EKG, nabız, sıcaklık, hareket vb.) alınan verilerin anlık bir şekilde kaydedilmesini sağlayan hasta takip sistemi geliştirilmiştir. Sistem, biyomedikal sensörler ile birlikte Atmega ... -
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 ... -
Feature Extraction and Classification of Neuromuscular Diseases Using Scanning EMG
Artuğ, Necdet Tuğrul; Bolat, Bülent; Osman, Onur; Göker, İmran; Tulum, Gökalp; Baslo, Mehmet Barış (IEEE, 2014)In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum ... -
Finansal Piyasalarda Hisse Fiyatlarının Derin Öğrenme ve Yapay Sinir Ağı Yöntemleri ile Tahmin Edilmesi; S&P 500 Endeksi Örneği
Taş, Ali İsa; Gülüm, Pelin; Tulum, Gökalp (Düzce Üniversitesi Fen Bilimleri Enstitüsü, 2021)Gelişen teknolojiler sayesinde günümüzde bilgisayarların gücü artmış ve bununla birlikte farklı amaçlara hizmet eden birçok algoritma geliştirilmiştir. Bu algoritmalar birçok alanda olduğu gibi finans alanında da sıkça ... -
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 ... -
A preliminary study for remote healthcare system: Activity classification for elder people with on body sensors
Koçak, Samet; Artuğ, Tuğrul; Tulum, Gökalp (Institute of Electrical and Electronics Engineers Inc., 2018)Development of intelligent care system for elder people have been investigated in recent years. In this study, to detect emergency situations for elder people, activity classification was aimed using on body sensor data. ...
