Browsing by Author "Yilmaz, Bulent"
Now showing items 1-20 of 44
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Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
Uslu, Fatma; Icoz, Kutay); Tasdemir, Kasim; Yilmaz, Bulent (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2019)Quantification of tumor cells is crucial for early detection and monitoring the progress of cancer. Several methods have been developed for detecting tumor cells. However, automated quantification of cells in the presence ... -
Automatic body part and pose detection in medical infrared thermal images
Ozdil, Ahmet; Yilmaz, Bulent (TAYLOR & FRANCIS LTD2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, 2021)Automatisation and standardisation of the diagnosis process in medical infrared thermal imaging (MITI) is crucial because the number of medical experts in this area is highly limited.The current studies generally need ... -
Comparison of deep learning and conventional machine learning methods for classification of colon polyp types
Dogan, Refika Sultan; Yilmaz, Bulent (SCIENDOBOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND, 2021)Determination of polyp types requires tissue biopsy during colonoscopy and then histopathological examination of the microscopic images which tremendously time-consuming and costly. The first aim of this study was to design ... -
Comparison of Lung Tumor Segmentation Methods on PET Images
Eset, Kubra; Icer, Semra; Karacavus, Seyhan; Yilmaz, Bulent; Kayaalti, Omer; Ayyildiz, Oguzhan; Kaya, Eser (IEEE, 2015)Akciğer kanseri, tüm dünyada kansere bağlı gerçekleşen ölümlerin en sık nedenidir. Son zamanlarda, tümör içi 18Fflorodeoksiglukoz (FDG)’un tutulumunun düzgünlük, pürüzlülük ve düzenliliğini (yani tekstür özelliklerini) ... -
Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand
Siddiq Ahmed, Saygin; Almusawi, Ahmed R. J.; Yilmaz, Bulent; Dogru, Nuran (Copernicus GmbH, 2021)This study introduces a new control method for electromyography (EMG) in a prosthetic hand application with a practical design of the whole system. The hand is controlled by a motor (which regulates a significant part of ... -
Detection of Epileptic Seizures with Tangent Space Mapping Features of EEG Signals
Altındiş, Fatih; Yılmaz, Bülent (Institute of Electrical and Electronics Engineers Inc., 2021)Detection of epileptic seizures from EEG signals is well-studied topic for the last couple of decades. Lately, automated signal processing and machine learning methods were developed to detect epileptic seizures. However, ... -
Detection of Ulcerative Colitis From Colonoscopy Images
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Ulcerative colitis (UC) is a disease in which inner surface of colon is inflamed. Ulcers and open scars on the colon are observed. The complaint in the flare period is the frequent bloody diarrhea. Complaints of people ... -
Detection of Variation Instances on Colonoscopy Videos using Structural Similarity Index
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)The aim of this study is to reduce the number of images extracted from the videos recorded by the specialists during the colonoscopy process for further examination, thereby enabling the specialist to deal with fewer images. ... -
Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications
Ozturk, Nedime; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained ... -
Effect of Bilinear Interpolation on the Texture Analysis of Colonoscopy Images
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Interpolation is a method that is used to obtain unknown intensities with the help of known intensities on an image. This method is frequently used in the literature to eliminate light reflection on colonoscopy images. ... -
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection
Kacmaz, Rukiye Nur; Yilmaz, Bulent; Aydin, Zafer (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2020)Reflections of LED light cause unwanted noise effects called specular reflection (SR) on colonoscopic images. The aim of this study was to seek answers to the following two questions. (a) How are the texture features used ... -
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
Yengec-Tasdemir, Sena Busra; Aydin, Zafer; Akay, Ebru; Dogan, Serkan; Yilmaz, Bulent (ELSEVIER, 2024)Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ... -
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
Yengec-Tasdemir,Sena Busra; Aydin,Zafer; Akay,Ebru; Doğan,Serkan; Yilmaz,Bulent (Elsevier, 2024)Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplasti ... -
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach ... -
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction. In particular, the Hilbert-based Empirical ... -
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency ... -
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences. In recent ... -
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)In recent years, utilizing Hilbert-based time frequency methods in emotional state sensing research attracted attention in the brain computer interfaces. Primarily, Hilbert Transform-based empirical mode decomposition (EMD) ... -
An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy
Yilmaz, Bulent; Ciftci, Emre (ELSEVIER, 2013)Extracorporeal Shock Wave Lithotripsy (ESWL) is based on disintegration of the kidney stone by delivering high-energy shock waves that are created outside the body and transmitted through the skin and body tissues. ... -
Feature Extraction and Classification in A Two-State Brain-Computer Interface
Altindis, Fatih; Yilmaz, Bulent (IEEE, 2015)Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...
