Now showing items 1-6 of 6

    • Canlı hücre bölütlemesi için gözeticili öğrenme modeli 

      Koyuncu, Can Fahrettin; Durmaz, İrem; Çetin-Atalay, Rengül; Gündüz-Demir, Çiğdem (IEEE Computer Society, 2014-04)
      Automated cell imaging systems have been proposed for faster and more reliable analysis of biological events at the cellular level. The first step of these systems is usually cell segmentation whose success affects the ...
    • A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images 

      Arslan, S.; Ozyurek, E.; Gunduz Demir, C. (John Wiley & Sons, Inc., 2014)
      Computer-based imaging systems are becoming important tools for quantitative assessment of peripheral blood and bone marrow samples to help experts diagnose blood disorders such as acute leukemia. These systems generally ...
    • DeepDistance: a multi-task deep regression model for cell detection in inverted microscopy images 

      Koyuncu, Can Fahrettin; Güneşli, Gözde Nur; Çetin-Atalay, Rengül; Gündüz-Demir, Çigdem (Elsevier, 2020)
      This paper presents a new deep regression model, which we call DeepDistance, for cell detection in images acquired with inverted microscopy. This model considers cell detection as a task of finding most probable locations ...
    • Perceptual watersheds for cell segmentation in fluorescence microscopy images 

      Arslan, Salim (Bilkent University, 2012)
      High content screening aims to analyze complex biological systems and collect quantitative data via automated microscopy imaging to improve the quality of molecular cellular biology research in means of speed and accuracy. ...
    • Segmentation and classification of cervical cell images 

      Kale, Aslı (Bilkent University, 2010)
      Cervical cancer can be prevented if it is detected and treated early. Pap smear test is a manual screening procedure used to detect cervical cancer and precancerous changes in an uterine cervix. However, this procedure ...
    • Segmentation of cervical cell images 

      Kale, A.; Aksoy, S. (IEEE, 2010)
      The key step of a computer-assisted screening system that aims early diagnosis of cervical cancer is the accurate segmentation of cells. In this paper, we propose a two-phase approach to cell segmentation in Pap smear test ...