Blar i Department of Electrical and Computer Engineering (TN-IDE) på emneord "image segmentation"
Viser treff 1-2 av 2
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Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
(Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
(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 ...