Parallelization of the image segmentation algorithm for intel xeon phi with application in medical imaging

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F15%3A86098958" target="_blank" >RIV/61989100:27230/15:86098958 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/15:86098958 RIV/61989100:27740/15:86098958
Result on the web
<a href="http://dx.doi.org/10.4203/ccp.107.7" target="_blank" >http://dx.doi.org/10.4203/ccp.107.7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4203/ccp.107.7" target="_blank" >10.4203/ccp.107.7</a>

Result language
angličtina
Original language name
Parallelization of the image segmentation algorithm for intel xeon phi with application in medical imaging
Original language description
In this paper speed up of the k-means algorithm for image segmentation is presented. This speed up is achieved by effective parallelization. For parallel implementation the MIC architecture Intel Xeon Phi coprocessor has been selected. To demonstrate parallel capabilities of k-means algorithm segmentation of CT images the abdominal part of the body is used. The results of this work will be used for development of the software application for the automatic three-dimensional model reconstruction of the heart and liver.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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