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Feature Extraction and Classification of Neuromuscular Diseases Using Scanning EMG
(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 ...
Wigner Ville dağılımı yöntemi ile görüntülerdeki lüminans düzeyinin EEG kayıtlarındaki etkisinin incelenmesi
(IEEE, 2016)
Yapılan çalışmanın amacı duygusal değerlendirme ve lüminans arasındaki ilişkinin elektroensefalografi (EEG) kayıtlarında gözlemlenen P300 geç bileşeni üzerinden incelenmesidir. Çalışmada 13 sağlıklı gönüllüye ait EEG ...
Investigation of Luminance Effect on the Emotional Assessment Using Hjorth Descriptors
(IEEE, 2015)
The aim of this study is to investigate the impact of luminance level on the emotional evaluation from electroencephalography (EEG) records. EEG recordings obtained from 31 healty partipicants were used in this study. ...
Colonic polyp classification using projection image and convolutional neural network
(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 ...
Linear Modeling of Multiple Sclerosis and Its Subgroubs
(Turkish Neurological Soc., 2015)
Objective: In this study, 120 patients diagnosed with clinical multiple sclerosis (MS) of relapsing remitting type (RRMS), secondary progressive type (SPMS) and primary progressive type (PPMS) were examined, as well as 19 ...
Automated Segmentation of the Injured Liver
(IEEE, 2015)
A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. ...
Lung segmentation algorithm for CAD system in CTA images
(2011)
In this study, we present a new and fast algorithm for lung segmentation using CTA images. This process is quite important especially at lung vessel segmentation, detection of pulmonary emboly, finding nodules or segmentation ...
Computed aided detection of traumatized kidneys in CT images
(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 ...
