Now showing items 1-2 of 2

    • Convolutional Neural Networks for Malaria Detection 

      Gimse, Håkon (The University of Bergen, 2019-12-13)
      Together with doctors at Haukeland University Hospital in Bergen, we wanted to research how the diagnosis of malaria can be improved. We propose a method that can detect malaria parasites (Plasmodium falciparum) in microscope ...
      Master thesis
    • A novel approach to computing super observations for probabilistic wave model validation 

      Bohlinger, Patrik; Breivik, Øyvind; Economou, Theodoros; Müller, Malte (Elsevier, 2019-07)
      In the field of wave model validation, the use of super observations is a common strategy to smooth satellite observations and match the simulated spatiotemporal scales. An approach based on averaging along track is widely ...
      Journal article