Browsing PhD theses (TN-IDE) by Author "Engan, Kjersti"
Now showing items 1-8 of 8
-
Artifact Detection for Reliable Computational Pathology Systems using Artificial Intelligence
Kanwal, Neel (PhD thesis UiS; 771, Doctoral thesis, 2024)Cancer is a significant global health concern, resulting in millions of deaths worldwide each year. Cancer diagnosis is performed using histological examination of glass slides under a microscope. Thanks to digitization ... -
Automated Grading of Bladder Cancer using Deep Learning
Wetteland, Rune (PhD thesis UiS;, Doctoral thesis, 2022-02)Urothelial carcinoma is the most common type of bladder cancer and is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
Tomasetti, Luca (PhD thesis UiS;, Doctoral thesis, 2023)This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ... -
Automatic Video Analysis in Resuscitation
Meinich-Bache, Øyvind (PhD thesis UiS;, Doctoral thesis, 2020-01)This thesis investigates possibilities for applying automatic video analysis in the medical context of resuscitation of a patient. Two situations are investigated: 1) Out-of-hospital cardiac arrest (OHCA) where there is a ... -
A Critical Look at the Evaluation of Knowledge Graph Question Answering
Linjordet, Trond (PhD thesis UiS;, Doctoral thesis, 2022-11)The field of information retrieval (IR) is concerned with systems that “make a given stored collection of information items available to a user population” [111]. The way in which information is made available to the user ... -
Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer
Fuster Navarro, Saul (PhD thesis UiS;, Doctoral thesis, 2024)This thesis presents a comprehensive investigation into the development and application of advanced computational techniques for the extraction of crucial diagnostic and prognostic information from histological images of ... -
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 ... -
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 ...