Blar i forfatter "Grønnesby, Morten"

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    • Automated Lung Sound Analysis 

      Grønnesby, Morten (Master thesis; Mastergradsoppgave, 2016-06-01)
      Lungs sounds has been used as a diagnostic tool for centuries. The usefulness of listening to lung sounds, or pulmonary auscultation, as a definite diagnostic method has been diminished by advances in medical imaging such as chest X-Ray, but these advanced methods also bring a higher monetary and time cost. In addition, when the severity of pulmonary conditions changes, audible symptoms change ...

    • Low-Cost Programmable Air Quality Sensor Kits in Science Education 

      Fjukstad, Bjørn; Angelvik, Nina; Hauglann, maria wulff; Knutsen, Joachim Sveia; Grønnesby, Morten; Gunhildrud, Hedinn; Bongo, Lars Ailo (Chapter; Bokkapittel, 2018-02-21)
      We describe our citizen science approach and technologies designed to introduce students in upper secondary schools to computational thinking and engineering. Using an Arduino microcontroller and low-cost sensors we have developed the air:bit, a programmable sensor kit that students build and program to collect air quality data. In our course, students develop their own research questions regarding ...

    • A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images 

      Shvetsov, Nikita; Grønnesby, Morten; Pedersen, Edvard; Møllersen, Kajsa; Rasmussen Busund, Lill-Tove; Schwienbacher, Ruth; Bongo, Lars Ailo; Kilvær, Thomas Karsten (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-16)
      Increased levels of tumor-infiltrating lymphocytes (TILs) indicate favorable outcomes in many types of cancer. The manual quantification of immune cells is inaccurate and time-consuming for pathologists. Our aim is to leverage a computational solution to automatically quantify TILs in standard diagnostic hematoxylin and eosin-stained sections (H&E slides) from lung cancer patients. Our approach ...