Blar i TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) på emneord "Deep learning"

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    • Automated reporting system using deep convolutional neural network in the medical domain 

      Subedi, Matrika (MAUU;2021, Master thesis, 2021)
      Nowadays, in the healthcare sector, a massive volume of medical data sources is available. The data is growing at 153 Exabytes in 2013 and an estimated 2,314 exabytes in 2020 (Turner, Gantz et al. 2014). The medical data ...

    • Deep learning for automated polyp detection and localization in colonoscopy 

      Patra, Amita (Master thesis, 2022)
      Gastrointestinal (GI) tract comprises organs from mouth to anus. Multiple diseases can occur in the GI tract. Among the different diseases in the digestive system, the most commonly found cancer in the gastrointestinal ...

    • Deep learning for crop instance segmentation 

      Ellefsen, Patrick (ACIT;2022, Master thesis, 2022)
      This thesis explores object detection with instance segmentation in relation to agriculture. For the purpose of discovering a detection model that could potentially boost robotic greenhouse harvesters with newer and ...

    • Facial emotion recognition using deep learning 

      Kirkvik, Emilia Basioli (ACIT;2022, Master thesis, 2022)
      Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the ability to analyze, recognize and understand emotions. Facial Emotion Recognition (FER) is a technology that analyzes facial ...

    • Soccer athlete performance prediction using time series analysis 

      Ragab, Nourhan (ACIT;2022, Master thesis, 2022)
      Regardless of the sport you prefer, your favorite athlete has almost certainly disappointed you at some point. Did you jump to a conclusion and dismissed it as "not their day"? Or, did you consider the underlying causes for ...