Now showing items 1-5 of 5

    • 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 ...
    • 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. (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 ...
    • A supervised learning model for live cell segmentation 

      Koyuncu, C.F.; Durmaz I.; Cetin-Atalay, R.; Gunduz-Demir, C. (IEEE Computer Society, 2014)
      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 ...