Now showing items 1-3 of 3

    • Automatic segmentation of colon glands using object-graphs 

      Gunduz Demir, C.; Kandemir, M.; Tosun, A. B.; Sokmensuer, C. (Elsevier BV, 2010)
      Gland segmentation is an important step to automate the analysis of biopsies that contain glandular structures. However, this remains a challenging problem as the variation in staining, fixation, and sectioning procedures ...
    • Boosting fully convolutional networks for gland instance segmentation in histopathological images 

      Güneşli, Gözde Nur (Bilkent University, 2019-08)
      In the current literature, fully convolutional neural networks (FCNs) are the most preferred architectures for dense prediction tasks, including gland segmentation. However, a signi cant challenge is to adequately train ...
    • Segmentation of colon glands by object graphs 

      Kandemir, Melih (Bilkent University, 2008)
      Histopathological examination is the most frequently used technique for clinical diagnosis of a large group of diseases including cancer. In order to reduce the observer variability and the manual effort involving in ...