Body Navigation via Robust Segmentation of Basic Structures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F18%3A10365432" target="_blank" >RIV/00216208:11140/18:10365432 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-68195-5_33" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-68195-5_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-68195-5_33" target="_blank" >10.1007/978-3-319-68195-5_33</a>
Alternative languages
Result language
angličtina
Original language name
Body Navigation via Robust Segmentation of Basic Structures
Original language description
Segmentation of internal organs from Computed Tomography images often uses intensity and shape properties. We introduce a navigation system based on robust segmentation of body tissues like spine, body surface and lungs. Pose estimation of an investigated tissue can be performed using this algorithm and it also can be used as a support information for various segmentation algorithms. Precision of liver segmentation based on Bayes classifier is shown in this paper and it is compared with state of the art methods using SLIVER07 dataset.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1503" target="_blank" >LO1503: BIOMEDIC</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017
ISBN
978-3-319-68194-8
ISSN
2212-9391
e-ISSN
neuvedeno
Number of pages
9
Pages from-to
306-314
Publisher name
Springer
Place of publication
Cham
Event location
Porto, Portugalsko
Event date
Oct 18, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000437032100033