Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: Application in medical imaging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A86098953" target="_blank" >RIV/61989100:27240/17:86098953 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/17:86098953
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0965997816301041" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0965997816301041</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advengsoft.2016.05.008" target="_blank" >10.1016/j.advengsoft.2016.05.008</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: Application in medical imaging
Original language description
The paper presents speed up of the k-means algorithm for image segmentation. This speed up is achieved by effective parallelization. For parallel implementation we focus on Many Integrated Core (MIC) architecture with Intel Xeon Phi coprocessors. The MIC implementation is compared with GPU, CPU and sequential implementation. To demonstrate parallel capabilities of k-means algorithm, segmentation of CT images of human body are used. Results of this work will be used for development of the software application for automatic 3D model reconstruction of heart and liver.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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)
Result continuities
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)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Engineering Software
ISSN
0965-9978
e-ISSN
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Volume of the periodical
103
Issue of the periodical within the volume
January 2017
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
21-28
UT code for WoS article
000390966700004
EID of the result in the Scopus database
2-s2.0-84969940732