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Spleen segmentation on CT using convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
The automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this ...
Semi-automated measurement of intraabdominal periorgan hematoma with a new method in patients with blunt abdominal trauma
(IEEE, 2015)
Our aim is to demonstrate a new semi-automated method for measuring periorgan hematoma due to abdominal organ trauma. The new methods' performance was evaluated on randomly selected 31 CT scans from 31 patients (10 females, ...
Investigation The Effect of Luminance Level on the Emotional Assesment in EEG Recordings Using Wavelet Transform
(IEEE, 2016)
The aim of this study is to investigate the impact of luminance level on the emotional evaluation from electroencefelography (EEG) data recorded. EEG recordings obtained from 13 healthy individuals were used in the study. ...
Application of Telemedicine for Detection of Traumatic Spleen Injury
(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 ...
Determining Phase Duration of Scanning EMG Signals
(IEEE, 2015)
There are more than one motor unit activities recorded simultaneously during scanning EMG recordings. It is not possible to determine the phase duration correctly by inspecting only one sweep. The other motor unit activities, ...
Determining MUAP Activity Corridor In Scanning EMG Recordings
(Institute of Electrical and Electronics Engineers Inc., 2015)
In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration ...
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
(Springer, 2012)
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ...
A New Practical Intracerebral Hematoma Volume Calculation Method and Comparison to simple ABC/2
(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
(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 ...
Facial Recognition in Hexagonal Domain – A Frontier Approach
(Institute of Electrical and Electronics Engineers Inc., 2023)
Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based ...
