| dc.contributor.author | Smistad, Erik | |
| dc.date.accessioned | 2015-11-09T10:06:14Z | |
| dc.date.available | 2015-11-09T10:06:14Z | |
| dc.date.issued | 2015 | |
| dc.identifier.isbn | 978-82-326-1129-4 | |
| dc.identifier.issn | 1503-8181 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2359703 | |
| dc.description.abstract | During this project, developing image segmentation software for different types of processors
was found to be challenging due to several factors, such as driver errors, processor
differences, and the need for low level memory handling. Therefore a novel framework
for heterogeneous medical image computing and visualization was developed. This
framework aims to make it easier to simultaneously process and visualize medical images
efficiently on heterogeneous computer systems. | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.publisher | NTNU | nb_NO |
| dc.relation.ispartofseries | Doctoral thesis at NTNU;2015:236 | |
| dc.title | Medical Image Segmentation for Improved Surgical Navigation | nb_NO |
| dc.type | Doctoral thesis | nb_NO |
| dc.subject.nsi | VDP::Technology: 500::Information and communication technology: 550 | nb_NO |
