Browsing by Subject "Support vector machines"
Now showing items 1-17 of 17
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Article
Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG
(2008)This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
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Article
Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction
(2010)Non-invasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke ...
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Article
Automated detection of pavement patches utilizing support vector machine classification
(2016)The efficient condition assessment of road networks is crucial to prevent pavement distresses which can cause a spectrum of detrimental effects. The need for automation of the underlying process is originated from the ...
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Article
Brain white matter lesion classification in multiple sclerosis subjects for the prognosis of future disability
(2013)This study investigates the application of classification methods for the prognosis of future disability on MRI-detectable brain white matter lesions in subjects diagnosed with clinical isolated syndrome (CIS) of multiple ...
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Article
Brain white matter lesions classification in multiple sclerosis subjects for the prognosis of future disability
(2011)This study investigates the application of classification methods for the prognosis of future disability on MRI-detectable brain white matter lesions in subjects diagnosed with clinical isolated syndrome (CIS) of multiple ...
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Article
Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images
(2009)The aim of this study was to investigate the usefulness of multilevel binary and gray scale morphological analysis in the assessment of atherosclerotic carotid plaques. Ultrasound images were recorded from 137 asymptomatic ...
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Conference Object
Classification of surface electromyographic signals using AM-FM features
(2009)The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electro myographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals ...
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Conference Object
Color based texture - Classification of hysteroscopy images of the endometrium
(2007)The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium based on color texture analysis for the early detection of gynaecological cancer. A total of 416 ...
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Conference Object
Color multiscale texture classification of hysteroscopy images of the endometrium
(2008)The objective of this study was to investigate the diagnostic performance of a Computer Aided Diagnostic (CAD) system based on color multiscale texture analysis for the classification of hysteroscopy images of the endometrium, ...
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Conference Object
Combination of different texture features for mammographic breast density classification
(2012)Mammographic breast density refers to the prevalence of fibroglandular tissue as it appears on a mammogram. Breast density is not only an important risk for developing breast cancer but can also mask abnormalities. Breast ...
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Article
Computer-aided diagnosis in hysteroscopic imaging
(2015)The paper presents the development of a computeraided diagnostic (CAD) system for the early detection of endometrial cancer. The proposed CAD system supports reproducibility through texture feature standardization, ...
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Article
Evaluation of the risk of stroke with confidence predictions based on ultrasound carotid image analysis
(2012)Conformal Predictors (CPs) are Machine Learning algorithms that can provide reliable confidence measures to their predictions. In this work, we make use of the Conformal Prediction framework for the assessment of stroke ...
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Conference Object
An integrated CAD system facilitating the endometrial cancer diagnosis
(2009)In this study we present an integrated system for supporting the diagnosis of endometrial cancer. The system consists of an electronic patient record that incoporates a hysteroscopy imaging CAD system for the early detection ...
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Article
Multi-scale AM-FM analysis for the classification of surface electromyographic signals
(2012)In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
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Doctoral Thesis Open Access
On-line partial discharge source identification in medium and high voltage cable networks
(Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, 2011-12)Η παρακολούθηση για ύπαρξη Μερικών Ηλεκτρικών Εκκενώσεων (ΜΗΕ) σε πραγματικές συνθήκες προσφέρει σημαντικές πληροφορίες για την κατάσταση του διηλεκτρικού των υπογείων καλωδίων μεταφοράς και διανομής και συνεπώς βρίσκεται ...
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Conference Object
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset
(2012)The problem of diagnosing Pima Indian Diabetes from data obtained from the UCI Repository of Machine Learning Databases[6] is handled with a modified Support Vector Machine strategy. Performance comparison with previous ...
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Conference Object
Texture-based classification of hysteroscopy images of the endometrium
(2006)The objective of this study was to classify hysteroscopy images of the endometrium based on texture analysis for the early detection of gynaecological cancer. A total of 418 Regions of Interest (ROIs) were extracted (209 ...