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Toplam kayıt 26, listelenen: 11-20
Feature Extraction and Classification in A Two-State Brain-Computer Interface
(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 ...
Comparison of Lung Tumor Segmentation Methods on PET Images
(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) ...
Automatic body part and pose detection in medical infrared thermal images
(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 ...
Use of laser-induced bubbles in intraocular pressure measurement: a preliminary study
(IOP PUBLISHING LTD, TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND, 01.01.2019)
This work investigates the feasibility of a novel approach for measuring intraocular pressure (IOP) by analyzing micron-level laser-induced bubble characteristics in the intraocular fluid. We believe that this concept may ...
Parameter investigation of topological data analysis for EEG signals
(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 01.01.2021)
Topological data analysis (TDA) methods have become appealing in EEG signal processing, because they may help the scientists explore new features of complex and large amount of data by simplifying the process from a ...
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
(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) ...
Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications
(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 ...
Detection of Ulcerative Colitis From Colonoscopy Images
(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
(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. ...
Real-Time Robotic Car Control Using Brainwaves and Head Movement
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Emotiv Epoc Headset is a portable and low-cost device. In this study, Emotiv Epoc headset was used in order to obtain real-time gyro and EEG signals. The aim of this study was to control a robotic car in real-time by using ...