Kurum Yazarı "Dogan, Ramazan Ozgur" İçin Listeleme
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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 ... -
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 ...