Now showing items 1-4 of 4

    • 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 ...
    • Tissue object patterns for segmentation in histopathological images 

      Gündüz-Demir, Çiğdem (ACM, 2011)
      In the current practice of medicine, histopathological examination is the gold standard for routine clinical diagnosis and grading of cancer. However, as this examination involves the visual analysis of biopsies, it is ...