• Investigating the effect of class-imbalance on convolutional neural networks for angiodysplasia detection 

      Kaspersen, Oskar Anstein (Master thesis; Mastergradsoppgave, 2019-10-31)
      In this thesis, we look at a deep learning approach to AD detection and focus specifically on the problem of class imbalance, which arises from the fact that lesions only occupy a small part of the images, by analyzing how weighting of the loss function can help address this issue. Balancing the weights of the foreground and background class in the cost-function was found to be crucial to achieve ...