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Toplam kayıt 18, listelenen: 11-18
A novel method for pulmonary embolism detection in CTA images
(Elsevier, 2014)
In this paper, we propose a new computer-aided detection (CAD) – based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to ...
The effect of recording site on extracted features of motor unit action potential
(Elsevier, 2016)
Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and ...
Colon segmentation and colonic polyp detection using cellular neural networks and three-dimensional template matching
(Wiley Blackwell, 2009)
In this study, an automatic three-dimensional computer-aided detection system for colonic polyps was developed. Computer-aided detection for computed tomography colonography aims at facilitating the detection of colonic ...
Investigation of Luminance Effect on the Emotional Assessment Using Principle Components Analysis Method
(IEEE, 2017)
The purpose of the study is to observe the effect of the level of luminance on the emotional evaluation (positive, negative, neutral) in electroencephalography (EEG) records. EEG records of 31 healthy volunteers were used ...
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 ...
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 ...
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 ...