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Toplam kayıt 23, listelenen: 11-20
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
(ELSEVIER IRELAND, 2023)
Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ...
An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy
(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. ...
Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies
(ELSEVIER IRELAND LTD, 2014)
In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) ...
Liver fibrosis staging using CT image texture analysis and soft computing
(ELSEVIER, 2014)
Liver biopsy is considered to be the gold standard for analyzing chronic hepatitis and fibrosis; however, it is an invasive and expensive approach, which is also difficult to standardize. Medical imaging
techniques such ...
Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors
(IEEE, 2023)
This article presents a new transfer learning
method named group learning, that jointly aligns multiple domains (many-to-many) and an extension named fast
alignment that aligns any further domain to previously
aligned ...
Lung cancer subtype differentiation from positron emission tomography images
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2020)
Lung cancer is one of the deadly cancer types, and almost 85% of lung cancers are nonsmall cell lung cancer (NSCLC). In the present study we investigated classification and feature selection methods for the differentiation ...
A new tool for QT interval analysis during sleep in healthy and obstructive sleep apnea subjects: a study on women
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2013)
By monitoring the Q wave/T wave (QT) interval computed from electrocardiography (ECG) signals during sleep, it is possible to create a link between the ventricular repolarization and sleep stages. In this study, we aimed ...
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection
(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 ...
Effect of Bilinear Interpolation on the Texture Analysis of Colonoscopy Images
(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. ...
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
(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 ...