Now showing items 1-15 of 15

  • Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images 

    Georgakopoulos, S. V.; Tasoulis, S. K.; Plagianakos, V. P.; Maglogiannis, I. (2013)
    In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ...
  • Classification of apoptosis using advanced clustering techniques on digital microscopic images 

    Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)
    Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ...
  • Classification of dermatological images using advanced clustering techniques 

    Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)
    Computer vision-based diagnosis systems have been widely used in dermatology, aiming at the early detection of skin cancer and more specifically the recognition of malignant melanoma tumor. This paper proposes a novel ...
  • Clustering of high dimensional data streams 

    Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2012)
    Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ...
  • Density based projection pursuit clustering 

    Tasoulis, S. K.; Epitropakis, M. G.; Plagianakos, V. P.; Tasoulis, D. K. (2012)
    Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal Component Analysis and Projection Pursuit, to find interesting lower ...
  • Enhancing principal direction divisive clustering 

    Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)
    While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is ...
  • Evolutionary principal direction divisive partitioning 

    Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)
    While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ...
  • Independent component clustering for skin lesions characterization 

    Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2011)
    In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ...
  • Projection based clustering of gene expression data 

    Tasoulis, S. K.; Plagianakos, V. P.; Tasoulis, D. K. (2010)
    The microarray DNA technologies have given researchers the ability to examine, discover and monitor thousands of genes in a single experiment. Nonetheless, the tremendous amount of data that can be obtained from microarray ...
  • Random direction divisive clustering 

    Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2013)
    Projection methods for dimension reduction have enabled the discovery of otherwise unattainable structure in ultra high dimensional data. More recently, a particular method, namely Random Projection, has been shown to have ...
  • Skin lesions characterisation utilising clustering algorithms 

    Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)
    In this paper we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ...
  • A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images 

    Maglogiannis, I.; Georgakopoulos, S. V.; Tasoulis, S. K.; Plagianakos, V. P. (2015)
    The high volume of pathological microscopy images deforming tissues make the fast quantification and detection of the corrupted regions extremely difficult. To tackle this problem, we present in this paper an automated ...
  • Statistical data mining of streaming motion data for activity and fall recognition in assistive environments 

    Tasoulis, S. K.; Doukas, C. N.; Plagianakos, V. P.; Maglogiannis, I. (2013)
    The analysis of human motion data is interesting in the context of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ...
  • Statistical data mining of streaming motion data for fall detection in assistive environments 

    Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2011)
    The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ...
  • Unsupervised detection of fibrosis in microscopy images using fractals and fuzzy c-means clustering 

    Tasoulis, S. K.; Maglogiannis, I.; Plagianakos, V. P. (2012)
    The advances in improved fluorescent probes and better cameras in collaboration with the advent of computers in imaging and image analysis, assist the task of diagnosis in many fields of biologic and medical research. In ...