Blar i NTNU Open på forfatter "Dale, Einar"
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A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers
Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Huynh, Bao Ngoc; Mulstad, Martine; Moe, Yngve Mardal; Knuth, Franziska; Tomic, Oliver; Indahl, Ulf Geir; Torheim, Turid Katrine Gjerstad; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2021)Target volume delineation is a vital but time-consuming and challenging part of radiotherapy, where the goal is to deliver sufficient dose to the target while reducing risks of side effects. For head and neck cancer (HNC) ... -
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023)Background: Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction of image features within a pre-defined image region of interest (ROI) which ...