Browsing by Subject "Probabilistic neural networks"

Now showing items 1-4 of 4

    • Article  

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

      Loizou, Christos P.; Kyriacou, Efthyvoulos C.; Seimenis, Ioannis; Pantzaris, Marios C.; Petroudi, Styliani; Karaolis, Minas A.; Pattichis, Constantinos S. (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 ...
    • 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  

      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, ...