Browsing Department of Electrical and Computer Engineering (TN-IDE) by Subject "hjerneslag"
Now showing items 1-4 of 4
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Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
(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 ... -
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke
(Peer reviewed; Journal article, 2023)Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
(Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Stroke Mimics and In Depth Analysis of Computed Tomography Perfusion in Patients with Acute Ischemic Stroke
(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 ...