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Toplam kayıt 40, listelenen: 11-20
Comparison of deep learning and conventional machine learning methods for classification of colon polyp types
(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 ...
Medical infrared thermal image based fatty liver classification using machine and deep learning
(TAYLOR & FRANCIS LTD, 2023)
Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease ...
Split-attention effects in multimedia learning environments: eye-tracking and EEG analysis
(SPRINGER, 2022)
This study aimed to evaluate the split-attention effect in multimedia learning environments via objective measurements as EEG and eye-tracking. Two different multimedia
learning environments in a focused (integrated) and ...
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 ...
Registration and Fusion of Lung Tumor PET/CT Images
(IEEE, 2015)
Görüntü birleştirme medikal alanda tamamlayıcı yönüyle ve
teşhis ve tedavi planlama gibi uygulamalarda kullanılmasıyla
dikkat çekmektedir. Bu çalışmada 8 adet küçük hücre dışı
akciğer kanserli hastanın positron emisyon ...
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) ...