Sürdürülebilir Kalkınma Amaçları
Yayınlar
- BildiriYalnız künye2022Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net
Dogan, Ramazan Ozgur; Türe, Hayati; Kayikçioglu, Temel
The pectoral muscle region on MLO mammography images appears prominently similar to suspicious areas. For this reason, Computer-Aided Detection (CAD) systems remove this region to reduce false-positive rates in the mass detection process. In some cases, the pectoral muscle region is exposed to distortions due to the superposition effects caused by the mammography technique. As a result, segmentation error rates of the pectoral muscle region, whose characteristic features are deteriorated, appear. In this study, a method to identify impaired pectoral muscle regions with MobileNetV2 backboned U-Net Deep Learning method is proposed. The proposed method was tested on 84 and 201 mammography images taken from both MIAS and InBreast databases and segmented with 1.81% and 1.92% false-negative (FN) and 0.25% and 0.37% false positive (FP) rates, respectively. Particularly for distorted pectoral muscle regions, the proposed method has been shown to outperform some pioneering studies in this area.
- BildiriYalnız künye2018Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks
Yildirim, Omer; Özcan, Zubeyir; Turhan, Hilal; Kayikçioglu, Temel
In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the nerve network can be investigated in detail by making the desired stimuli to mathematical models of neural networks. The most important feature of the work is that the designed interface is completely user friendly. Another advantage of this software is that users can easily perform simulations of the neural network models without writing code.
- BildiriYalnız künye2018Cell Master: A Versatile and User-Friendly Educational Software for Simulation of Neuronal Dynamics
Özcan, Zubeyir; Kayikçioglu, Ilknur; Yildirim, Omer; Köse, Cemal; Kayikçioglu, Temel
In this study, A user-friendly, versatile and easily accessible educational software design was done by using NEURON hoc programming in order to investigate the dynamics, biophysical properties of nerve cells and their responses to various stimulation. With the help of interfaces which prepared for users to be assisted visually, it is aimed to be able to easily perform almost any application desired. This software allows users to perform their simulations without the need to write any code. Considering the features given in detail in the study, it has been suggested to use the software in neuroscience education.
- BildiriYalnız künye2018R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal
Dogan, Ramazan Ozgur; Kayikçioglu, Temel
The performance of electrocardiogram applications is closely related to the succesful detection of R-peaks. Therefore, successful detection of R-peaks is of high importance. Electrocardiogram signals vary from person to person, so detection of R-peaks is getting difficult. In this study, Evolutionary Neural Network which is a deep learning model and imitates human vision, is used to detect R-peaks. The MIT-BIH Arrhythmia Database with 48 different records was used as the database and experimental results with very high accuracy were obtained.
- BildiriYalnız künye2018Detecting Cardiac Arrhythmia by Using Time Differences of Double Wavelength PPG Peaks
Yildirim, Omer; Kayikçioglu, Temel
Nowadays, photopletismogram (PPG) signals are used in respiration and blood pressure measurement, monitoring of the sleep pattern and also detecting of mental disorders, mainly blood oxygen saturation and heartrate measurement. The reason of the use of PPG signals instead of signals such as electroencephalogram (EEG) or electrocardiogram (ECG) is easy to obtain and real-time monitoring of these data, as well as being easily used by people in daily life and easily integrated into wearable technologies. In this study, detecting of cardiac arrhythmia was made successfully by using double wavelength PPG signals instead of ECG signals
- BildiriYalnız künye2017Real Time Sending and Monitoring Electronic Health Records
Dogan, Ramazan Ozgur; Kayikçioglu, Temel; Yagci, Yavuz
Innovations in the field of health increase with the developing technology nowadays. These technological advances in the health field have enabled us to meet with telemedicine applications. Telemedicine is the use of computer technologies and the Internet infrastructure so that we can access health services without going to the hospital. In telemedicine applications, patients can access past electronic health records of patients can be accessed as well as access real-time instant electronic health records is provided. Real-time telemedicine applications usually aim to provide remote access to the biological signs of the patient and to diagnose them through these signals. In this study, it is mentioned how a real time telemedicine application can be performed, which features should be provided, and which performance criteria should be taken into consideration while developing. In addition, performance values are examined for a sample implementation.
- BildiriYalnız künye2016Remote Patient Monitoring and Electronic Health Record System Based on Web Services
Dogan, Ramazan Ozgur; Kayikçioglu, Temel
Because of the increase in the number of people, medical problems increase and chronic diseases become more common. Medical data transfer between remote patients and health center can be provided by using information technology and telemedicine. In this study a system based web services is improved to monitor chronic patient with telemedicine. The system makes health personal offer Electronic Health Recording (EHR) consisting of biological signals and physiological parameters. This study with server-client construction consists of patient monitor software, web service and an interface allowing remote health personal to access web service.
- BildiriYalnız künye2015Health-Monitoring System based Tele-tip for Elders
Yildirim, Omer; Özgur, Ramazan; Kaya, Ismail; Kayikçioglu, Temel
Nowadays, developments in the medicine continue fastly. Technological devices developed on the basic of these developments are usually complex and its use isn't easy. In our studies, considering this situation, a wireless system which is used easyly by older adults is improved. Thanks to this system, patient's blood oxygen saturation, blood glucose, blood pressure and body weight values can be monitored remotely and easyly by their doctors. In addition, all of the patients' medical data are saved by server and their doctors can reach patients' medical history data. When all of these operations are in progress, there are wireless devices that are easy to use patient's side.