Blar i NTNU Open på forfatter "Pettersen, Henrik P Sahlin"

Viser treff 1-3 av 3

    • Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology 

      Pettersen, Henrik P Sahlin; Belevich, Ilya; Røyset, Elin Synnøve; Smistad, Erik; Simpson, Melanie Rae; Jokitalo, Eija; Reinertsen, Ingerid; Bakke, Ingunn; Pedersen, André (Peer reviewed; Journal article, 2022)
      Application of deep learning on histopathological whole slide images (WSIs) holds promise of improving diagnostic efficiency and reproducibility but is largely dependent on the ability to write computer code or purchase ...

    • H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images 

      Pedersen, André; Smistad, Erik; Rise, Tor Vikan; Dale, Vibeke Grotnes; Pettersen, Henrik P Sahlin; Nordmo, Tor-Arne Schmidt; Bouget, David Nicolas Jean-Mar; Reinertsen, Ingerid; Valla, Marit (Journal article; Peer reviewed, 2022)
      Over the past decades, histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic methods for evaluation ...

    • Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods 

      Skjervold, Anette Hansen; Pettersen, Henrik P Sahlin; Valla, Marit; Opdahl, Signe; Bofin, Anna Mary (Peer reviewed; Journal article, 2022)
      Background In breast cancer (BC) Ki-67 cut-off levels, counting methods and inter- and intraobserver variation are still unresolved. To reduce inter-laboratory differences, it has been proposed that cut-off levels for ...