Now showing items 1-4 of 4

    • Beyond lesion detection: Towards semantic interpretation of endoscopy videos 

      Vasilakakis M.D., Iakovidis D.K., Spyrou E., Chatzis D., Koulaouzidis A. (2017)
      Several computer-based medical systems have been proposed for automatic detection of abnormalities in a variety of medical imaging domains. The majority of these systems are based on binary supervised classification ...
    • Video-Based Eye Blink Identification and Classification 

      Nousias G., Panagiotopoulou E.-K., Delibasis K., Chaliasou A.-M., Tzounakou A.-M., Labiris G. (2022)
      Blink detection and classification can provide a very useful clinical indicator, because of its relation with many neurological and ophthalmological conditions. In this work, we propose a system that automatically detects ...
    • Video-surveillance and context aware system for activity recognition 

      Kolovou, X.; Maglogiannis, I. (2010)
      Fall detection is the main issue in design an AAL system for elderly. This paper describes an algorithm for vision and audio fall detection. The main problem with video surveillance is the distinction of a fall from similar ...
    • Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames 

      Vasilakakis M.D., Diamantis D., Spyrou E., Koulaouzidis A., Iakovidis D.K. (2020)
      Several studies have addressed the problem of abnormality detection in medical images using computer-based systems. The impact of such systems in clinical practice and in the society can be high, considering that they can ...