Automatic Segmentation And Classification Of Internal Calibration Tissues

Thumbnail Image
Files
161_eeict2017.pdf(763.81 KB)
Date
2017
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
The aim of this work is finding a way to make calculation of bone mineral density of vertebrae with the use of internal calibration tissues fully automatic procedure. To accomplish that several methods for segmentation and classification of paraspinal muscle and subcutaneous fat were tested. For the testing and learning procedure of this work manually labelled database of tissues of interest was created and medically verified.
Description
Keywords
computed tomography, texture analysis, cluster analysis, random forest classification, principal component analysis, bone mineral density
Citation
Proceedings of the 23st Conference STUDENT EEICT 2017. s. 161-163. ISBN 978-80-214-5496-5
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
cs
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
DOI
URI
http://hdl.handle.net/11012/187069
Collections
Student EEICT 2017
Citace PRO