Browsing by Subject "Image analysis"

Now showing items 1-20 of 33

    • Conference Object  

      Adaptive neural network imaging in medical systems 

      Pattichis, Constantinos S.; Pattichis, Marios S. (2001)
      Recent technological advances in medicine facilitated the development of sophisticated equipment enabling the better delivery of health care services. In parallel, artificial neural networks emerged as promising tools for ...
    • Article  

      Advances in informatics : 8th Panhellenic Conference on Informatics, PCI 2001, Nicosia, Cyprus, November 8-10, 2001 : revised selected papers 

      Panhellenic Conference, on Informatics; Panhellenic Conference, on Informatics; Manolopoulos, Yannis; Kakas, Antonis C.; Evripidou, Skevos; Panhellenic Conference, on Informatics (2003)
    • Conference Object  

      AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Pattichis, Constantinos S. (2010)
      We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white ...
    • Conference Object  

      AM-FM texture image analysis in multiple sclerosis brain white matter lesions 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Seimenis, Ioannis; Pattichis, Constantinos S. (2010)
      In this study we investigate the use of multiscale Amplitude Modulation-Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with multiple sclerosis MRI lesions imaged at 0 and ...
    • Article  

      AM-FM texture image analysis of the intima and media layers of the carotid artery 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Christodoulou, C. S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N.; Pattichis, Constantinos S. (2009)
      The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media ...
    • Article  

      Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction 

      Lambrou, Alexandra; Papadopoulos, Harris; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Gammerman, A.; Nicolaïdes, Andrew N. (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 ...
    • Conference Object  

      Brain MR image normalization in texture analysis of multiple sclerosis 

      Loizou, Christos P.; Pantzaris, Marios C.; Seimenis, Ioannis; Pattichis, Constantinos S. (2009)
      A problem that occurs in texture analysis and quantitative analysis of magnetic resonance imaging (MRI), is that the extracted results are not comparable between consecutive or repeated scans or, within the same scan, ...
    • Article  

      Chiral control of electron transmission through molecules 

      Skourtis, Spiros S.; Beratan, David N.; Naaman, R.; Nitzan, A.; Waldeck, D. H. (2008)
      Electron transmission through chiral molecules induced by circularly polarized light can be very different for mirror-image structures, a peculiar fact given that the electronic energy spectra of the systems are identical. ...
    • Article  

      Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images 

      Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Pattichis, Constantinos S.; Mavrommatis, A.; Christodoulou, Christodoulos I.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (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 ...
    • 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 ...
    • Article  

      Clear cell ovarian carcinoma in a pregnant woman with a history of infertility, endometriosis and unsuccessful IVF treatment 

      Makrydimas, G.; Sotiriadis, A.; Paraskevaidis, E.; Pavlidis, Nicholas; Agnantis, Niki J.; Lolis, D. (2003)
      Ovarian cancer in pregnancy is a very rare event. We present here the case of a 37-year-old woman in whom a clear cell ovarian carcinoma was diagnosed in the first trimester of pregnancy. This patient had a history of ...
    • Article  

      Comparing Different Classifiers for Automatic Age Estimation 

      Lanitis, A.; Draganova, C.; Christodoulou, Chris C. (2004)
      We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
    • 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  

      Detection of cell nuclei in breast biopsies using receptive fields 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Kyriacou, Kyriacos C.; Schizas, Christos N. (IEEE, 1994)
      A biopsy analysis support system, called BASS, is introduced. The system uses an unsupervised object detection loop involving center-surround receptive fields, and a nonlinearity to mark the location of cell nuclei in an ...
    • Conference Object  

      Evaluation of spatial dependence matrices on multiscale instantaneous amplitude for mammogram classification 

      Petroudi, Styliani; Constantinou, Ioannis P.; Pattichis, Marios S.; Tziakouri, Chrysa H.; Tziakouri, Chrysa H.; Pattichis, Constantinos S. (Springer Verlag, 2015)
      Breast cancer is the most common cancer in women. Mammography is the only breast cancer screening method that has proven to be effective. Mammographic breast density is increasingly assessed towards the development of more ...
    • Article  

      Evaluation of the risk of stroke with confidence predictions based on ultrasound carotid image analysis 

      Lambrou, Alexandra; Papadopoulos, Harris; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Gammerman, A.; Nicolaïdes, Andrew N. (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 ...
    • Article  

      Filter-based approach for ornamentation detection and recognition in singing folk music 

      Neocleous, Andreas C.; Azzopardi, G.; Schizas, Christos N.; Petkov, N. (2015)
      Ornamentations in music play a significant role for the emotion whi1ch a performer or a composer aims to create. The automated identification of ornamentations enhances the understanding of music, which can be used as a ...
    • Conference Object  

      Image analysis system for automated detection of breast cancer nuclei 

      Tsapatsoulis, Nicolas; Schnorrenberg, Frank; Pattichis, Constantinos S.; Kollias, Stefanos (IEEE Comp Soc, 1997)
      A study for breast cancer nuclei detection is presented in this paper. The proposed algorithm determines the centers of nuclei in biopsy images using block-based processing of the images followed by singular value decomposition ...
    • Article  

      Improved detection of breast cancer nuclei using modular neural networks 

      Schnorrenberg, F.; Tsapatsoulis, Nicolas; Pattichis, Constantinos S.; Schizas, Christos N.; Kollias, S.; Vassiliou, M.; Adamou, Adamos K.; Kyriacou, Kyriacos C. (2000)
      A modular neural network-based approach to detect and classify breast cancer nuclei stained for steroid receptors in hispathological sections is evaluated. The system named biopsy analysis support system (BASS) is designed ...
    • Conference Object  

      Integrated levels of detail 

      Stylianou, Georgios; Chrysanthou, Yiorgos L. (2006)
      We introduce a new mesh representation for arbitrary surfaces that integrates different levels of detail into the final representation. It is produced after remeshing an existing model and omits storing connectivity ...