Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Subject "Datateknologi, Visuell databehandling"

Now showing items 1-8 of 8

    • Fully-Automatic Coronary Artery Segmentation using Deep Convolutional Autoencoders 

      Jacobsen, Frode (Master thesis, 2018)
      Automatic semantic segmentation of medical images is an important tool in aiding clinical experts in diagnosing diseases. The large volume of data produced in medical imaging modalities such as CT and MRI, and the inherent ...

    • Improving User Experience of Indoor Maps Through Merging of Rooms 

      Normann, Morten Alver; Njærheim, Helmer Råby Schaug (Master thesis, 2017)
      The field of indoor map representation is an emerging field of research, contrary to outdoor maps, which has been under research for decades. A lot of focus in indoor maps has been on indoor positioning. However, map ...

    • ML-based profile analysis of CUDA programs' compiler flag impact 

      Bækken, August Landgraff (Master thesis, 2018)
      With the recent successes and interest in machine learning, this project aims to investigate whether machine learning methods can be used to improve compiler optimization selection. Compiler optimization is hard because ...

    • Segmentation of Coronary Arteries from CT-scans of the heart using Deep Learning 

      Kjerland, Øyvind (Master thesis, 2017)
      Image segmentation is an important tool in several fields. One is medical image computing where the images are divided into regions based on tissue type and organ, which can further be used for visualization and diagnosis. ...

    • Sun Glare Detection and Visualization 

      Aune, Kjetil (Master thesis, 2017)
      Presence of sun glare while driving can be both annoying and potentially dangerous. This paper presents a method for calculating the presence of sun glare on roads. A plug-in for QGIS that can be used to visualize the ...

    • Tiny Overseer - A System for Autonomous Low-Altitude Missions 

      Sjursen, Bjarte (Master thesis, 2018)
      This thesis will demonstrate a complete system based on commercial quadcopter drones with the ability to perform autonomous unmanned missions. The system is based on state of the art object detection networks with an ...

    • Using Neural Networks to Determine the Origin of Medical Ultrasound Images 

      Fossan, Øivind (Master thesis, 2017)
      This thesis investigates the possibility of using neural networks to determine the body location of medical ultrasound images. Neural networks were trained on several datasets of both synthetic and real ultrasound images, ...

    • Visualization of Crowd Flows from Positioning Data 

      Koren, Hans-Kristian Seem (Master thesis, 2017)
      Positioning systems, both indoor and outdoor, regardless of technology used, generate large amounts of data of varying quality about where different objects are observed in space at various time instants. Such data has ...