• Optimization of object detection in newborn resuscitation videos 

      Austnes, Simon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)
      99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ...
    • Safer Births - Using Deep Neural Networks on Fetal Heart Rate Signals 

      Berntsen, Stian (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Infant death is a big issue, especially in Africa and parts of Asia where between 24 and 30 [21] in every thousand do not survive the first month. In Europe this number is only 5.9 in every thousand. Reading fetal heart ...
    • Segmentation of infarcted regions in Perfusion CT images by 3D deep learning 

      Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ...