• MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts 

      Knuth, Franziska Hanna; Adde, Ingvild Askim; Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Winter, René Mario; Negård, Anne; Holmedal, Stein Harald; Meltzer, Sebastian; Ree, Anne Hansen; Flatmark, Kjersti; Dueland, Svein; Hole, Knut Håkon; Seierstad, Therese; Redalen, Kathrine Røe; Futsaether, Cecilie Maria (Peer reviewed; Journal article, 2022)
      Background: Tumor delineation is time- and labor-intensive and prone to inter- and intraobserver variations. Magnetic resonance imaging (MRI) provides good soft tissue contrast, and functional MRI captures tissue properties ...