- Mammographic Mass Detection Using a Mass Template
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Ozekes S, Osman O, Camurcu AY
- KMID: 1777279
- Korean J Radiol.
- 2005 Dec;6(4):221-228.
- doi: 10.3348/kjr.2005.6.4.221
OBJECTIVE: The purpose of this study was to develop a new method for automated mass detection in digital mammographic images using templates. MATERIALS AND METHODS: Masses were detected using a... -
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- Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification
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Erguzel TT, Ozekes S, Gultekin S, Tarhan N
- KMID: 2316344
- Psychiatry Investig.
- 2014 Jul;11(3):243-250.
OBJECTIVE: Many applications such as biomedical signals require selecting a subset of the input features in order to represent the whole set of features. A feature selection algorithm has recently... -
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- Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding
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Ozekes S, Osman O, Ucan ON
- KMID: 1734269
- Korean J Radiol.
- 2008 Feb;9(1):1-9.
- doi: 10.3348/kjr.2008.9.1.1
OBJECTIVE: The purpose of this study was to develop a new method for automated lung nodule detection in serial section CT images with using the characteristics of the 3D appearance... -
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- Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
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Erguzel TT, Ozekes S, Gultekin S, Tarhan N, Hizli Sayar G, Bayram A
- KMID: 2316390
- Psychiatry Investig.
- 2015 Jan;12(1):61-65.
- doi: 10.4306/pi.2015.12.1.61
OBJECTIVE: The combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and electroencephalogram (EEG) is a valuable tool for investigating the... -
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