Now showing items 1-6 of 6

    • Automated cell analysis in microscopy images 

      Koyuncu, Can Fahrettin (Bilkent University, 2018-09)
      High-throughput microscopy systems have become popular recently, which facilitate to acquire boundless microscopy images without requiring human intervention. However, the analysis of such amount of images using conventional ...
    • 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 ...
    • 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 ...
    • Iterative H-minima-based marker-controlled watershed for cell nucleus segmentation 

      Koyuncu, Can Fahrettin; Akhan, Ece; Ersahin, T.; Cetin Atalay, R.; Gunduz Demir, Çiğdem (John Wiley & Sons, Inc., 2016)
      Automated microscopy imaging systems facilitate high-throughput screening in molecular cellular biology research. The first step of these systems is cell nucleus segmentation, which has a great impact on the success of the ...
    • Object-oriented segmentation of cell nuclei in fluorescence microscopy images 

      Koyuncu, Can Fahrettin; Cetin Atalay, R.; Gunduz Demir, Cigdem (Wiley-Liss, 2018)
      Cell nucleus segmentation remains an open and challenging problem especially to segment nuclei in cell clumps. Splitting a cell clump would be straightforward if the gradients of boundary pixels in-between the nuclei were ...
    • Smart markers for watershed-based cell segmentation 

      Koyuncu, Can Fahrettin (Bilkent University, 2012)
      Automated cell imaging systems facilitate fast and reliable analysis of biological events at the cellular level. In these systems, the first step is usually cell segmentation that greatly affects the success of the ...