• Classification of histological images of bladder cancer using deep learning 

      Wetteland, Rune (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      In Norway bladder cancer is the fourth most common cancer type among men, with an almost 70 % increase in incidence the past four decades. For women, the increase has been about 40 %. The histological images of bladder ...
    • Myocardial Segmentation in LGE-CMR Images Using Deep Neural Networks 

      Kregnes, Anders (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-07-29)
      Cardiovascular diseases are the number one cause of death globally. 85% of these deaths are related to acute myocardial infarction or stroke. One of the methods that are used to diagnose patients affected by myocardial ...
    • Semi-Supervised Image Segmentation of Medical Data 

      Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...
    • Semi-supervised tissue segmentation of histological images 

      Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)
      Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...