Yazar "Kiliç E." için listeleme
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Chip design for intelligent data classification algorithms and implementation on an FPGA: A case study to classify EMG signals
FPGA chips stand out with parallel processing capabilities. Besides this, artificial neural networks require parallel computing because of their algorithm. In this study, it is aimed to design an artificial neural network ... -
The combined effects of etanercept plus methylprednisolone on pancreatic oxidative stress in acute pancreatitis induced by cerulein
Günay M.; Kiliç E.; Amanvermez R. (2011)Whether etanercept plus metylprednisolone reduce pancreatic oxidative stress and injury during pancreatitis is unknown well. The aim of this study was to examine the therapeutic effects of etanercept and methylprednisolone ... -
Common bile duct stones, an experience in Ondokuz Mayis University
Karabulut K.; Özbalci G.S.; Kiliç E.; Kesicioğlu T.; Lap G.; Tarim I.A.; Erzurumlu K. (2013)Common bile duct stones, obstructive jaundice, cholangitis and acute pancreatitis are diseases that can lead to serious complications. In our clinic between May 1993 and October 2011 the results of 101 patients who underwent ... -
Detection of pectoral muscle boundary in mammograms
Removing the pectoral muscle from the mammogram images is a very important step for computer aided cancer diagnosis methods due to the fact that pectoral muscle having similar properties with the abnormal tissue. This is ... -
Diagnosis of breast cancer with an innovative adaptive Support Vector Machine
Karacan E.; Kiliç E. (2012)In this study, a novel methodology based on Support Vector Machine (SVM) is proposed. In the proposed method, the sigma value belonging to the radial based function which is being used as the kernel function for the support ... -
Diagnosis of diabetes by using adaptive SVM
In this study, a new Support Vector Machine (SVM) based method for diagnosis of diabetes is proposed. In the proposed method, feature of adaptibility is added to the support vector machine. Thus, a new kind of SVM named ... -
Diagnosis of diabetes by using adaptive SVM and feature selection
In this study, a new Support Vector Machine (SVM) based method for diagnosis of diabetes is proposed. In the proposed method, feature of adaptibility is added to the support vector machine. Thus, a new kind of SVM named ... -
The effects of albendazole-alcohol solution on the hepatobiliary system
Sarp G.; Amanvermez R.; Polat C.; Erzurumlu K.; Kiliç E.; Gülbahar M.Y. (2012)Most of the scolicidal agents have some toxic effects on the hepatobiliary system included albendazole. The effects of albendazole in alcohol solution on the hepatobiliary system have been investigated in a rat model. The ... -
Is calcified hydatid cyst absolutely dead? A case report and review of the literature
Erzurumlu K.; Polat C.; Dicle K.; Kiliç E.; Güngör B.; Hökelek M. (2010)How and when does a hydatid cyst die in humans? There is an ongoing debate in medicine about this subject. Calcification of the hydatid cyst wall is believed to indicate the death of the contents of the cyst. However, ... -
A new intelligent diagnosis method to determine thyroid disorders
In this study, the Learning Vector Quantization (LVQ) network model is enhanced with attaching conscience mechanism to be used in diagnosis of thyroid disorders, so that network's disease diagnostic success percentage is ...
