Yazar "Dogan, Ramazan Ozgur" için listeleme
-
Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
Kobya, Mehmet Emin; Ture, Hayati; Dogan, Ramazan Ozgur; Kayikcioglu, Temel; Teymur, Aykut (IEEE, 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
Anomaly Detection in Predicted Water Treatment Data using Hybrid CNN-LSTM Network Model
Ozgenc, Busra; Ayas, Selen; Dogan, Ramazan Ozgur; Cavdar, Bora; Sahin, Ali Klvanc; Ayas, Mustafa Sinasi (IEEE, 2023)Water treatment systems are among the industrial control systems where it is essential to detect anomalies accurately and efficiently due to the potential threat to public health. With advances in computer science, machine ... -
A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal
Dogan, Hulya; Dogan, Ramazan Ozgur (Springer Science and Business Media B.V., 2023)Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave, QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease. For an analysis of cardiac diagnosis, it is ... -
COMPUTER MONITORING AND CONTROL WITH HAND MOVEMENTS
Dogan, Ramazan Ozgur; Kose, Cemal (IEEE, 2014)The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control ... -
Deep Learning Based Focus Measurement Operator for 3D Imaging in Microscopic Systems
Dogan, Hulya; Dogan, Ramazan Ozgur (IEEE, 2023)Since 3D imaging in microscopic systems makes cell and tissue structures more prominent and visible, it provides higher performance in image processing applications such as automatic segmentation, recognition, classification, ... -
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
Dogan, Ramazan Ozgur; Dogan, Hulya; Kayikcioglu, Temel (Institute of Electrical and Electronics Engineers Inc., 2023)Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ... -
An Efficient Technique Based on Deep Learning for Automatic Focusing in Microscopic System
Dogu, Fatma Tuana; Doǧan, Hülya; Dogan, Ramazan Ozgur; Ay, Ilyas; Sezen, Sena F. (Springer Science and Business Media Deutschland GmbH, 2024)During microscopic examination process, experts firstly determine the most appropriate focusing point by precisely moving the microscope stage in the Z axis. This manual focusing process may cause variability in results ... -
An Extensive Study: Creation of A New Inverted Microscope Image Data Set and Improving Auto-Encoder Models for Higher Accuracy Segmentation of HaCaT Cell Culture Line
Sevim, Zeynep; Dogan, Hulya; Demir, Zeynep; Sezen, Feride Sena; Dogan, Ramazan Ozgur (Institute of Electrical and Electronics Engineers Inc., 2023)In cell culture investigations, it is assumed that the number of cells is counted automatically without the need for forward planning, additional tools, or consumables. The automatic cell counting process is greatly ... -
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
Sahin, Ali Kivanc; Cavdar, Bora; Dogan, Ramazan Ozgur; Ayas, Selen; Ozgenc, Busra; Ayas, Mustafa Sinasi (Institute of Electrical and Electronics Engineers Inc., 2023)To reduce potential threats to public health and economic losses, water distribution systems, which are critical parts of industrial control systems, require accurate and effective anomaly detection. The successful ... -
R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal
Dogan, Ramazan Ozgur; Kayikcioglu, Temel (IEEE, 2018)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 ... -
Real Time Sending and Monitoring Electronic Health Records
Dogan, Ramazan Ozgur; Kayikcioglu, Temel; Yagci, Yavuz (IEEE, 2017)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 ... -
Remote Patient Monitoring and Electronic Health Record System Based on Web Services
Dogan, Ramazan Ozgur; Kayikcioglu, Temel (IEEE, 2016)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 ... -
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net [Mamografi Görüntülülerindeki Pektoral Kas Bölgesinin Omurgali U-Net ile Bölütlenmesi]
Dogan, Ramazan Ozgur; Ture, Hayati; Kayikcioglu, Temel (Institute of Electrical and Electronics Engineers Inc., 2022)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 ... -
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
Dogan, Ramazan Ozgur; Dogan, Hulya; Bayrak, Coskun; Kayikcioglu, Temel (Elsevier Ireland Ltd, 2021)Background and objective: The size, shape, and position of the pancreas are affected by the patient characteristics such as age, sex, adiposity. Owing to more complex anatomical structures (size, shape, and position) of ... -
Virtual Mouse Control with Hand Gesture Information Extraction and Tracking
Dogan, Ramazan Ozgur; Dogan, Hulya; Kose, Cemal (IEEE, 2015)Virtual mouse implemented with hand gesture tracking based on image is one of studies in human-computer interaction. In this study that human-computer interaction is implemented with virtual mouse is purposed. This study ...
