Browsing NTNU Open by Author "Hodneland, Erlend"

Now showing items 1-3 of 3

    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

    • MRI-based radiomic signatures for pretreatment prognostication in cervical cancer 

      Wagner-Larsen, Kari Strøno; Hodneland, Erlend; Fasmer, Kristine Eldevik; Lura, Njål; Woie, Kathrine; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Halle, Mari Kyllesø; Smit, Noeska Natasja; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2023)
      Background Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific ...

    • Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer 

      Fasmer, Kristine Eldevik; Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Trovik, Jone; Salvesen, Øyvind; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2020)
      Background In endometrial cancer (EC), preoperative pelvic MRI is recommended for local staging, while final tumor stage and grade are established by surgery and pathology. MRI‐based radiomic tumor profiling may aid in ...