Segmentation of Hippocampus in MRI Data
but.event.date | 23.04.2015 | cs |
but.event.title | Student EEICT 2015 | cs |
dc.contributor.author | Kodym, O. | |
dc.date.accessioned | 2015-08-25T08:42:48Z | |
dc.date.available | 2015-08-25T08:42:48Z | |
dc.date.issued | 2015 | cs |
dc.description.abstract | This project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user. | en |
dc.format | text | cs |
dc.format.extent | 71-73 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 21st Conference STUDENT EEICT 2015. s. 71-73. ISBN 978-80-214-5148-3 | cs |
dc.identifier.isbn | 978-80-214-5148-3 | |
dc.identifier.uri | http://hdl.handle.net/11012/42934 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 21st Conference STUDENT EEICT 2015 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | Graph theory | en |
dc.subject | Graph cut | en |
dc.subject | Min-cut/Max-flow theorem | en |
dc.subject | Hippocampus segmentation | en |
dc.title | Segmentation of Hippocampus in MRI Data | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |