Blar i NTNU Open på forfatter "Knuth, Franziska Hanna"

Viser treff 1-3 av 3

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

      Knuth, Franziska Hanna; Adde, Ingvild Askim; Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Winter, René; Negård, Anne; Holmedal, Stein Harald; Meltzer, Sebastian; Ree, Anne Hansen; Flatmark, Kjersti; Dueland, Svein; Hole, Knut Håkon; Seierstad, Therese; Redalen, Kathrine; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2021)
      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 ...

    • 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 ...

    • Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging 

      Knuth, Franziska Hanna; Grøndahl, Aurora Rosvoll; Winter, René; Torheim, Turid Katrine Gjerstad; Negård, Anne; Holmedal, Stein Harald; Bakke, Kine Mari; Meltzer, Sebastian; Futsæther, Cecilia Marie; Redalen, Kathrine (Peer reviewed; Journal article, 2022)
      Background and purpose Tumor delineation is required both for radiotherapy planning and quantitative imaging biomarker purposes. It is a manual, time- and labor-intensive process prone to inter- and intraobserver ...