• ConvMixerSeg: Weakly Supervised Semantic Segmentation for CT Liver Images 

      Joakimsen, Harald Lykke (Mastergradsoppgave; Master thesis, 2021-12-17)
      The predictive power of modern deep learning approaches is posed to revolutionize the medical imaging field, however, their usefulness and applicability are severely limited by the lack of well annotated data. Liver segmentation in CT images is an application that could benefit particularly well from less data hungry methods and potentially lead to better liver volume estimation and tumor detection. ...