• Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review 

      Joakimsen, Henrik Lykke (Master thesis; Mastergradsoppgave, 2023-09-12)
      Abstract Objectives: Machine learning (ML) for medical imaging is emerging for several organs and image modalities. Our objectives were to provide clinicians with an overview of this field by answering the following questions: (1) How is ML applied in liver computed tomography (CT) imaging? (2) How well do ML systems perform in liver CT imaging? (3) What are the clinical applications of ML in liver ...