Now showing items 821-840 of 1952

    • Article  

      Cognitive modeling of dilution effects in visual search 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Neocleous, Costas K.; Schizas, Christos N. (2012)
      A biologically plausible neural network model of selective attention has been implemented to account for discrepant findings on the source of distractor interference in visual search tasks. The model successfully simulated ...
    • 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 ...
    • 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  

      A proposed extension of the CODAM model for human attention 

      Neokleous, Kleanthis C.; Avraamides, Marios N.; Ioannides, A. A.; Neocleous, Costas K.; Schizas, Christos N. (2009)
      A new computational model of visual attention is proposed on a theoretical basis, based on the CODAM model (Taylor, 2002, [25], 2006). Also a more general mechanism is proposed for an attention model of two or more senses ...
    • Conference Object  

      Color multiscale texture classification of hysteroscopy images of the endometrium 

      Neofytou, Marios S.; Tanos, Vasilios; Pattichis, Marios S.; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Schizas, Christos N. (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, ...
    • Article  

      Computer-aided diagnosis in hysteroscopic imaging 

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

      Texture-based classification of hysteroscopy images of the endometrium 

      Neofytou, Marios S.; Pattichis, Marios S.; Pattichis, Constantinos S.; Tanos, Vasilios; Kyriacou, Efthyvoulos C.; Koutsouris, Demetrios Dionysios (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 ...
    • Article  

      Texture-based classification of hysteroscopy images of the endometrium. 

      Neofytou, Marios S.; Pattichis, Marios S.; Pattichis, Constantinos S.; Tanos, Vasilios; Kyriacou, Efthyvoulos C.; Koutsouris, Demetrios Dionysios (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 ...
    • Conference Object  

      Classification and data mining for hysteroscopy imaging in gynaecology 

      Neofytou, Marios S.; Loizou, A.; Tanos, Vasilios; Pattichis, Marios S.; Pattichis, Constantinos S. (2008)
      The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium (with suspicious areas of cancer), based on two data mining procedures, the C4.5 and the Hybrid ...
    • Conference Object  

      Electronic Health Record Application Support Service Enablers 

      Neofytou, Marios S.; Neokleous, Kleanthis C.; Aristodemou, Andrie; Constantinou, Ioannis P.; Antoniou, Z.; Schiza, Eirini C.; Pattichis, Constantinos S.; Schizas, Christos N. (Institute of Electrical and Electronics Engineers Inc., 2015)
      There is a huge need for open source software solutions in the healthcare domain, given the flexibility, interoperability and resource savings characteristics they offer. In this context, this paper presents the development ...
    • Conference Object  

      Fuzzy cognitive maps in estimating the repercussions of oil/gas exploration on politico-economic issues in Cyprus 

      Neocleous, Costas K.; Schizas, Christos N.; Papaioannou, Maria (2011)
      Some important politico-economic dynamics, in relation to different scenarios involving the finding and exploitation of oil/gas in the exclusive economic zone of Cyprus, have been modeled and examined through the use of ...
    • Conference Object  

      Electronic Health Record Application Support Service Enablers 

      Neofytou, Marios S.; Neokleous, Kleanthis C.; Aristodemou, Andrie; Constantinou, Ioannis P.; Antoniou, Zinonas C.; Schiza, Eirini C.; Pattichis, Constantinos S.; Schizas, Christos N. (Institute of Electrical and Electronics Engineers Inc., 2015)
      There is a huge need for open source software solutions in the healthcare domain, given the flexibility, interoperability and resource savings characteristics they offer. In this context, this paper presents the development ...
    • Article  

      Failure management in Grids: The case of the EGEE infrastructure 

      Neocleous, Kyriacos; Dikaiakos, Marios D.; Fragopoulou, Paraskevi; Markatos, Evangelos P. (2007)
      The emergence of Grid infrastructures like EGEE has enabled the deployment of large-scale computational experiments that address challenging scientific problems in various fields. However, to realize their full potential, ...
    • Article  

      Artificial neural network learning: A comparative review 

      Neocleous, Costas K.; Schizas, Christos N. (2002)
      Various neural learning procedures have been proposed by different researchers in order to adapt suitable controllable parameters of neural network architectures. These can be from simple Hebbian procedures to complicated ...
    • Conference Object  

      Artificial neural networks in estimating marine propeller cavitation 

      Neocleous, Costas K.; Schizas, Christos N. (2002)
      Cavitation in marine propellers can be a serious problem that may result in severe deterioration in performance. This is particularly important in heavily loaded propellers, commonly encountered in small craft. Efforts ...
    • Book Chapter  

      Quantitative analysis of hysteroscopy imaging in gynaecological cancer 

      Neofytou, Marios S.; Pattichis, Constantinos S.; Tanos, Vasilios; Pattichis, Marios S.; Kyriacou, Efthyvoulos C. (IGI Global, 2009)
      The objective of this chapter is to propose a quantitative hysteroscopy imaging analysis system in gynaecological cancer and to provide the current situation about endoscopy imaging. Recently works, involves endoscopy, ...
    • Conference Object  

      Neural networks to investigate the effects of smoking and alcohol abuse on the risk for preeclampsia 

      Neocleous, Costas K.; Nikolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2009)
      Following the application of a large number of neural network schemes that have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia occurrence at an early ...
    • Conference Object  

      Important issues to be considered in developing fuzzy cognitive maps 

      Neocleous, Costas K.; Papaioannou, Maria; Schizas, Christos N. (2011)
      The formalism of fuzzy cognitive maps as used for the modeling of various dynamical systems is presented with a critical point of view. Various issues related to terminology, concepts, sensitivities, time dependence, ...
    • Article  

      Sensitivity analysis of a neural network used for the forecasting of electric power load 

      Neocleous, Costas K.; Papazoglou, Thales M.; Schizas, Christos N.; Stratakis, Dimitrios I. (1999)
      A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...
    • Conference Object  

      On the claim for the existence of "Adversarial examples" in deep learning neural networks 

      Neocleous, Costas K.; Schizas, Christos N. (INSTICC Press, 2014)
      A recent article in which it is claimed that adversarial examples exist in deep artificial neural networks (ANN) is critically examined. The newly discovered properties of ANNs are critically evaluated. Specifically, we ...