Blar i SINTEF Open på tidsskrift "Frontiers in medicine"

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    • 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 (Peer reviewed; Journal article, 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 ...