Blar i Department of Electrical and Computer Engineering (TN-IDE) på forfatter "Engan, Kjersti"

Viser treff 41-51 av 51

    • 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 ...

    • Semi-Supervised Image Segmentation of Medical Data 

      Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...

    • Semi-supervised tissue segmentation of histological images 

      Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)
      Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...

    • Signal Processing for Newborn Survival : from labour to resuscitation 

      Urdal, Jarle (PhD thesis UiS;, Doctoral thesis, 2020-08)
      Stillbirths are a worldwide challenge, with an estimated 2.6 million stillbirths in 2015, of these 1.3 million are estimated to have died during labour and birth, i.e. fresh stillbirth. In addition to the 2.6 million, one ...

    • State transition modeling of complex monitored health data 

      Schulz, Jörn; Kvaløy, Jan Terje; Engan, Kjersti; Eftestøl, Trygve Christian; Jatosh, Samwel; Hussein, Kidanto; Ersdal, Hege Langli (Peer reviewed; Journal article, 2019)
      This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set ...

    • Stroke Mimics and In Depth Analysis of Computed Tomography Perfusion in Patients with Acute Ischemic Stroke 

      Høllesli, Liv Jorunn (PhD thesis UiS;, Doctoral thesis, 2024)
      Globally, neurological disorders are the leading cause of disability-adjusted life years (DALYs) and the second leading cause of death1. Cerebral stroke is a major contributor to this burden, being the second leading cause ...

    • Synaptic Vesicle Detection in Microscopy Images using Convolutional Neural Network and Compressed Sensing 

      Tofteberg, Simen Walmestad (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      In response to stressful situations, the body activates its sympathetic nervous system with the sudden release of hormones. This increases the presence of adrenaline and noradrenaline which improves muscle strength and ...

    • Telephone CPR Instructions in Cardiac Arrest 

      Hognestad, Ruth (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      This thesis focus on developing a dataset of recordings between a caller and a dispatcher from Emergency Communication Centre during situations involving cardiac arrest. It also focused on developing and implementing a ...

    • Towards using Thermal Cameras in Birth Detection 

      Garcia-Torres Fernandez, Jorge; Meinich-Bache, Øyvind; Sara, Brunner; Johannessen, Anders; Rettedal, Siren; Engan, Kjersti (Chapter, 2022)
      In recent years, thermal imaging has been used in numerous applications due to its ability to capture and visualize the thermal radiation emitted by objects. Thermal cameras can be employed as non-invasive systems for ...

    • Videodeteksjon av hjerte- og respirasjonsrate 

      Meinich-Bache, Øyvind (Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)
      I rapporten er mulighetene en har ved å benytte video til deteksjon av hjerte- og respirasjonsrate på nyfødte babyer utforsket. Datamaterialet som inngår i forsøkene og utviklingen av algoritmene er hentet inn ved Universitet ...

    • Vision transformers for small histological datasets learned through knowledge distillation 

      Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)
      Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...