Browsing by Subject "Feature extraction"

Now showing items 1-20 of 22

    • Article  

      Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG 

      Istenic, R.; Kaplanis, P. A.; Pattichis, Constantinos S.; Zazula, D. (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, ...
    • Conference Object  

      Application of feature extractive algorithm to bankruptcy prediction 

      Charalambous, Chris; Charitou, Andreas; Kaourou, Froso (IEEE, 2000)
      This study uses the feature selection algorithm proposed by Setiono and Liu to select the most relevant features for the bankruptcy prediction problem. The method uses a feedforward neural network with one hidden layer to ...
    • Article  

      Brain white matter lesions classification in multiple sclerosis subjects for the prognosis of future disability 

      Loizou, Christos P.; Kyriacou, Efthyvoulos C.; Seimenis, Ioannis; Pantzaris, Marios C.; Christodoulou, Chris C.; Pattichis, Constantinos S. (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 ...
    • Conference Object  

      Classification of satellite cloud imagery based on multi-feature texture analysis and neural networks 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S.; Kyriakou, Kyriaki (2001)
      The aim of this work was to develop a system based on modular neural networks and multi-feature texture analysis that will facilitate the automated interpretation of cloud images. This will speed up the interpretation ...
    • Conference Object  

      Classification performance of motor unit action potential features 

      Pattichis, Constantinos S.; Elia, Avraam; Schizas, Christos N.; Middleton, Lefkos T. (IEEE, 1994)
      The objective of this study is to examine the classification performance of the following motor unit action potential (MUAP) feature sets: i) time domain measures, ii) frequency measures, iii) autoregressive coefficients ...
    • Conference Object  

      Color based texture - Classification of hysteroscopy images of the endometrium 

      Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Pavlopoulos, Sotirios A. (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 ...
    • Conference Object  

      Completely automated multiresolution edge snapper (CAMES): A new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database 

      Molinari, F.; Loizou, Christos P.; Zeng, G.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Liboni, W.; Nicolaïdes, Andrew N.; Suri, J. S. (2011)
      Since 2005, our research team has been developing automated techniques for carotid artery (CA) wall segmentation and intima-media thickness (IMT) measurement. We developed a snake-based technique (which we named CULEX 1,2), ...
    • Conference Object  

      De-speckle filtering in ultrasound imaging of the carotid artery 

      Christodoulou, Christodoulos I.; Loizou, Christos P.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Schizas, Christos N.; Nicolaïdes, Andrew N. (2002)
      The main objective of this paper is to evaluate the classification performance of de-speckle filtering on ultrasound imaging of the carotid atherosclerotic plaque. The following procedure was investigated on 230 images ...
    • Conference Object  

      Evaluation of identifier based and & non-identifier based adaptive supervisory & control using a benchmark example 

      Baldi, S.; Ioannou, Petros A.; Mosca, E. (2010)
      Several classes of identifier and non-identifier based adaptive control schemes using a supervisory switching logic have been proposed in the literature. These schemes are based on different assumptions and claim to guarantee ...
    • Conference Object  

      Feature extraction for human motion indexing of acted dance performances 

      Aristidou, Andreas; Chrysanthou, Yiorgos L. (SciTePress, 2014)
      There has been an increasing use of pre-recorded motion capture data for animating virtual characters and syn- thesising different actions
    • Conference Object  

      Hybrid neural network electromyographic system: Incorporating the WISARD net 

      Pattichis, Constantinos S.; Schizas, Christos N.; Sergiou, A.; Schnorrenberg, F. (IEEE, 1994)
      Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks trained with the backpropagation, the Kohonen's self-organizing feature ...
    • Conference Object  

      An integrated CAD system facilitating the endometrial cancer diagnosis 

      Constantinou, Ioannis P.; Koumourou, C. A.; Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C. (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 ...
    • Conference Object  

      An integrated system for the assessment of ultrasonic imaging atherosclerotic carotid plaques 

      Pattichis, Constantinos S.; Christodoulou, Christodoulos I.; Pattichis, Marios S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2001)
      The objective of this work is to develop a system that will facilitate the automated characterization of ultrasonic imaging carotid plaques for the identification of individuals with asymptomatic carotid stenosis at risk ...
    • Article  

      Manual and automated media and intima thickness measurements of the common carotid artery 

      Loizou, Christos P.; Pattichis, Constantinos S.; Nicolaïdes, Andrew N.; Pantzaris, Marios C. (2009)
      The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of the development of cardiovascular disease (CVD). It was proposed but not thoroughly investigated that the media ...
    • Conference Object  

      Multi feature texture analysis for the classification of carotid plaques 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Tegos, Thomas J.; Nicolaïdes, Andrew N.; Elatrozy, Tarek S.; Sabetai, Michael; Dhanjil, S. (IEEE, 1999)
      The objective of this work was to develop a computer aided system which will facilitate the automated characterization of carotid plaques recorded from high resolution ultrasound images for the identification of individuals ...
    • Article  

      Multifeature Texture Analysis for the Classification of Clouds in Satellite Imagery 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S. (2003)
      The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated interpretation of satellite cloud images. Such a system will provide a ...
    • Article  

      Neural Network Models in EMG Diagnosis 

      Pattichis, Constantinos S.; Schizas, Christos N.; Middleton, Lefkos T. (1995)
      In the past years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add to these techniques the capability of automated medical diagnosis so that all ...
    • Article  

      A review of noninvasive ultrasound image processing methods in the analysis of carotid plaque morphology for the assessment of stroke risk 

      Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Loizou, Christos P.; Christodoulou, Chris C.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2010)
      Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaque-image analysis methods that have been ...
    • Conference Object  

      RISE - Co-S: High performance sensor storage and co-processing architecture 

      Banerjee, A.; Mitra, A.; Najjar, W.; Zeinalipour-Yazdi, Constantinos D.; Kalogerakil, V.; Gunopulos, Dimitrios (2005)
      Low power, high performance sensor designs are of particular importance nowadays considering the plethora of emerging applications in a wide range of fields. Applications such as audio capture, FFT (Fast Fourier Transform), ...
    • Article  

      A standardised protocol for texture feature analysis of endoscopic images in gynaecological cancer 

      Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Koutsouris, Demetrios Dionysios (2007)
      Background: In the development of tissue classification methods, classifiers rely on significant differences between texture features extracted from normal and abnormal regions. Yet, significant differences can arise due ...