Now showing items 1-3 of 3

    • Deep learning based unsupervised tissue segmentation in histopathological images 

      Köylü, Troya Çağıl (Bilkent University, 2017-11)
      In the current practice of medicine, histopathological examination of tissues is essential for cancer diagnosis. However, this task is both subject to observer variability and time consuming for pathologists. Thus, it ...
    • Early diagnosis of breakdown through transfer learning 

      Özbek, Seren (Bilkent University, 2019-06)
      Breakdown prediction of equipment is an essential task considering the management of resources and maintenance operations. Early diagnosis systems allow creating alerts on time for taking precautions on production. A ...
    • Real-time detection, tracking and classification of multiple moving objects in UAV videos 

      Baykara, Hüseyin Can; Bıyık, Erdem; Gül, Gamze; Onural, Deniz; Öztürk, Ahmet Safa; Yıldız, İlkay (IEEE, 2017-11)
      Unnamed Aerial Vehicles (UAVs) are becoming increasingly popular and widely used for surveillance and reconnaissance. There are some recent studies regarding moving object detection, tracking, and classification from UAV ...