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Metabolic Imaging Based Sub-Classification of Lung Cancer
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)
Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods were investigated comprehensively to differentiate two subtypes ...
Relationship between objective and subjective cognitive load measurements in multimedia learning
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2020)
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers ...
Image-analysis based readout method for biochip: Automated quantification of immunomagnetic beads, micropads and patient leukemia cell
(PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2020)
For diagnosing and monitoring the progress of cancer, detection and quantification of tumor cells is utmost important. Beside standard bench top instruments, several biochip-based methods have been developed for this ...
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(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 ...
Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction
(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2019)
This paper presents a novel method for emotion recognition based on time-frequency analysis using multivariate synchrosqueezing transform (MSST) of multichannel electroencephalography (EEG) signals. With the advancements ...
Polyp Localization in Colonoscopy Images Using Vessel Density
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
In this paper, we present a new approach for polyp localization in colonoscopy images. This approach is based on the determination of the polyp location using the vessel density in colon images. Primarily, we used ...
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
(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 ...
Prediction of preference and effect of music on preference: a preliminary study on electroencephalography from young women
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2019)
Neuromarketing is the application of the neuroscientific approaches to analyze and understand economically relevant behavior. In this study, the effect of loud and rhythmic music in a sample neuromarketing setup is ...
Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer
(SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2016)
Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer
Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers
(SOC NUCLEAR MEDICINE INC1850 SAMUEL MORSE DR, RESTON, VA 20190-5316, 2016)
Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers
