Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Kyriacou, Kyriacos C."

Now showing items 1-6 of 6

    • Article  

      AM-FM texture segmentation in electron microscopic muscle imaging 

      Pattichis, Marios S.; Pattichis, Constantinos S.; Avraam, Maria; Bovik, Alan Conrad; Kyriacou, Kyriacos C. (2000)
      This paper describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: 1) normal sarcomere ultrastructural ...
    • Article  

      Computer-aided classification of breast cancer nuclei 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Schizas, Christos N.; Kyriacou, Kyriacos C.; Vassiliou, M. (1996)
      Breast cancer is the most common malignancy affecting the female population in industrialized countries. Prognostic factors, such as steroid receptors visualized in biopsy slides, provide critical information to oncologists ...
    • Article  

      Computer-aided detection of breast cancer nuclei 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Kyriacou, Kyriacos C.; Schizas, Christos N. (1997)
      A computer-aided detection system for tissue cell nuclei in histological sections is introduced and validated as part of the Biopsy Analysis Support System (BASS). Cell nuclei are selectively stained with monoclonal ...
    • Article  

      Content-based retrieval of breast cancer biopsy slides 

      Schnorrenberg, F.; Pattichis, Constantinos S.; Schizas, Christos N.; Kyriacou, Kyriacos C. (2000)
      The Biopsy Analysis Support System (BASS), previously used for image analysis of immunohistochemically stained sections of breast carcinoma, has been extended to include indexing and content-based retrieval of biopsy slide ...
    • 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 ...
    • 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 ...